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Journal articles on the topic 'Informational Text Features'
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Hall-Kenyon, Kendra M., and Barbara Culatta. "Informational Text Content and Structure: Intervention Ideas for Young Children." Perspectives of the ASHA Special Interest Groups 1, no. 1 (2016): 90–98. http://dx.doi.org/10.1044/persp1.sig1.90.
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In recent years there has been an effort to increase the use of informational texts in early childhood settings (Pre-K-2), creating a growing need for effective strategies to teach the unique features of informational texts. This article will share practical ideas for supporting young children's exploration of informational content and initial awareness of basic organizational patterns found in informational texts. Strategies will be shared for highlighting relationships that can occur between or among ideas (e.g., problem/solution, compare/contrast, and sequence), strengthening content learning through oral language associated with multiple texts and experiences, and engaging children's interest in informational content.
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Bell, Hazel K. "Should fiction be indexed? The indexability of text." Indexer: The International Journal of Indexing 18, no. 2 (1992): 83–86. http://dx.doi.org/10.3828/indexer.1992.18.2.5.
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Considers what features of texts make them appropriate or necessary to be supplied with an index, and distinguishes between informational and literary text. Serious fiction is seen as comprising elements of both types of text, and the particular difficulties of indexing it, and the value of indexes to fiction, are considered.
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Nemec-Loise, Jenna. "Everyday Advocacy: Start Anywhere: The Everyday Advocacy Challenge." Children and Libraries 14, no. 2 (2016): 36. http://dx.doi.org/10.5860/cal.14n2.36.
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Great things don’t always have to start at the beginning. Sometimes the most exciting things can start right smack in the middle.For example, think of your favorite informational book for kids. If it’s a great informational book (and I’ll bet it is since you love it), you can open it up to any page, and voilà! You can dig right in because of all the text features available to guide you: Headings, captions, sidebars, photographs, and more. Because of its specialized design, any page in an informational book is an entry point and a prime opportunity for learning.
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Galstyan, Ashot. "Epistemological-Motivational Bases of Literary Non-Fiction Genre as Factors Determining The Linguistic Structure of Text." WISDOM 1, no. 6 (2016): 21. http://dx.doi.org/10.24234/wisdom.v1i6.59.
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This article dwells on epistemological-motivational aspects of the literary non-fiction genre. The general features of memoir literature are examined form the point of view of their epistemological and cognitive aspects. The cognitive and informational specificities of non-fictional narratives are also considered.
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Plevoets, Koen, and Bart Defrancq. "The effect of informational load on disfluencies in interpreting." Translation and Interpreting Studies 11, no. 2 (2016): 202–24. http://dx.doi.org/10.1075/tis.11.2.04ple.
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This article attempts to measure the cognitive or informational load in interpreting by modelling the occurrence rate of the speech disfluency uh(m). In a corpus of 107 interpreted and 240 non-interpreted texts, informational load is operationalized in terms of four measures: delivery rate, lexical density, percentage of numerals, and average sentence length. The occurrence rate of the indicated speech disfluency was modelled using a rate model. Interpreted texts are analyzed based on the interpreter’s output and compared with the input of non-interpreted texts, and measure the effect of source text features. The results demonstrate that interpreters produce significantly more uh(m)s than non-interpreters and that this difference is mainly due to the effect of lexical density on the output side. The main source predictor of uh(m)s in the target text was shown to be the delivery rate of the source text. On a more general level of significance, the second analysis also revealed an increasing effect of the numerals in the source texts and a decreasing effect of the numerals in the target texts.
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Kissel, Brian, Erin Miller, Erik Byker, Amy Good, and Paul Fitchett. "Museums as mentor texts: Preservice teachers analyze informational text structures and features present in a historical museum." Journal of Social Studies Research 43, no. 4 (2019): 343–60. http://dx.doi.org/10.1016/j.jssr.2019.01.001.
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Dahl, Amanda C., Sarah E. Carlson, Maggie Renken, Kathryn S. McCarthy, and Erin Reynolds. "Materials Matter: An Exploration of Text Complexity and Its Effects on Middle School Readers' Comprehension Processing." Language, Speech, and Hearing Services in Schools 52, no. 2 (2021): 702–16. http://dx.doi.org/10.1044/2021_lshss-20-00117.
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Purpose Complex features of science texts present idiosyncratic challenges for middle grade readers, especially in a post–Common Core educational world where students' learning is dependent on understanding informational text. The primary aim of this study was to explore how middle school readers process science texts and whether such comprehension processes differed due to features of complexity in two science texts. Method Thirty 7th grade students read two science texts with different profiles of text complexity in a think-aloud task. Think-aloud protocols were coded for six comprehension processes: connecting inferences, elaborative inferences, evaluative comments, metacognitive comments, and associations. We analyzed the quantity and type of comprehension processes generated across both texts in order to explore how features of text complexity contributed to the comprehension processes students produced while reading. Results Students made significantly more elaborative and connecting inferences when reading a text with deep cohesion, simple syntax, and concrete words, while students made more evaluative comments, paraphrases, and metacognitive comments when reading a text with referential cohesion, complex syntax, and abstract words. Conclusions The current study provides exploratory evidence for features of text complexity affecting the type of comprehension processes middle school readers generate while reading science texts. Accordingly, science classroom texts and materials can be evaluated for word, sentence, and passage features of text complexity in order to encourage deep level comprehension of middle school readers.
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Kuchina, Svetlana. "Electronic literary text: cohesion and coherence aspects." SHS Web of Conferences 55 (2018): 04014. http://dx.doi.org/10.1051/shsconf/20185504014.
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The article deals with the questions of electronic literary text cohesion and coherence specifity. Development of informational and communicational technologies in modern world transformed the text materiality. Nowadays its basic categories relate mostly to the electronic communication features. Electronic text became significant in all spheres of human communication. This factor makes this phenomenon relevant for the research and educational options on the topic. The research materials include several electronic texts (based on different platforms and technologies such as Adobe Flash, Scalar, HTML 5) that demonstrate the use of conceptually valid poly-code elements in their semantic structure. The basic characteristics of the text (printed or electronic) are the categories of cohesion and coherence. The cohesion specifity results from dual (verbal and non-verbal) structure of electronic literary text. The author suggests that the structural aspect of the electronic literary text semantic cohesion is not isolated from the other types of verbal and nonverbal elements correlations because it is not semantic self-contained and complete. The semantic cohesion of electronic literary text poly-code elements is usually represented in both structural and identifying aspects.
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Krak, Iurii, Anatoliy Kulias, Valentina Petrovych, and Vladyslav Kuznetsov. "About Methods for Classifying Hidden Language Concepts in Specialized Texts Involving Pseudoinverse, Clustering and Data Grouping." Cybernetics and Computer Technologies, no. 2 (June 30, 2021): 68–75. http://dx.doi.org/10.34229/2707-451x.21.2.7.
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This paper discusses the problems of analysis of hidden language concepts in scientific texts in the Ukrainian language, using methods of text mining, dimensionality reduction, grouping of features and linear classifiers. A corpus of scientific texts and dictionaries, as well as stop words and affixes, has been formed for processing specialized texts. The resulting texts were analyzed and converted into text frequency-inverse document frequency (TF-IDF) feature representation. In order to process the feature vector, we propose to use methods of dimensionality rteduction of the data, in particular, the algorithm for the synthesis of linear systems and Karunen – Loeve transform and grouping of features: T-stochastic grouping of nearest neighbors (T-SNE). A series of experiments were performed on test examples, in particular, for the determination of informational density in the text and classification by keywords in specialized texts using the method of random samples consensus (RANSAC). A method of classification of hidden language concepts was proposed, making use of clustering methods (K-means). As a result of the experiment, the structure of the classifier of hidden language concepts was obtained in structured texts was obtained, which gained a relatively high recognition accuracy (97 – 99 %) using such linear classification algorithms: decision trees and extreme gradient boost machine. The stability of the proposed method is investigated by using the perturbation of the original data by a variational autoencoder, test runs shown that sparse autocoder reduces the mean square error, but the separation band decreases, which affects the convergence of the classification algorithm. In further research, we propose to apply other methods of analysis of structured texts and ways to improve the separability of specialized texts with similar authorial styles and different topic using a proposed set of parameters. Keywords: text processing, language concepts, pseudoinverse, clusterization, methods of data groupings.
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Gonchar, I. A., and L. D. Samokhvalova. "Features of the informational structure of the memoir story by V. Tokareva “House by Village” (in the ratio of ego-text to genre)." Professor’s Journal. Series: Russian and Literature: studying and teaching 3 (August 20, 2020): 2–14. http://dx.doi.org/10.18572/2687-0339-2020-3-2-14.
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The article analyzes the information structure of the text of the story by V. Tokareva “House behind the village” (2018), projected on the features of building small genres of memoirs of fiction, related to ego-texts. The information structure of the text is identified with the concept of “discourse”, its main elements are speech composition, the nature of the use of language tools that determined the subjectivity of the narrative, the nature of the distribution of information in the text for intentional purposes.
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Hrushko, Svitlana. "LANGUAGE CODE OF PERCEPTION OF SCIENTIFIC TEXT IN THE COMMUNICATIVE ACT OF THE AUTHOR AND RECIPIENT." Naukovy Visnyk of South Ukrainian National Pedagogical University named after K. D. Ushynsky: Linguistic Sciences 2020, no. 31 (2020): 102–17. http://dx.doi.org/10.24195/2616-5317-2020-31-7.
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The article discusses the features of the activities of an author and recipient at different stages of the communication process in the perception of a scientific text. Studies of the peculiar influence of the language code on the perception of information in the context of the communicative act of the author of the message and the recipient in the modern information society are among the most relevant nowadays. Creation of a scientific and technical message and its publication are aimed at effective perception of information and achieving a certain linguistic influence of the author of the message on the consciousness of the recipient through the display of the peculiarities of the author's way of thinking. The beginning of scientific communication is the need for certain information of recipients. The response to this need is the proposal of necessary information by the author. The information needs of the recipients form the subject matter and content of scientific and technical communication. The author of the scientific message chooses the most convenient way and channel for the transfer of information to the recipient, and the recipient searches for the necessary information in the most optimal way and channel. The coding of the message usually corresponds to the coding of the informational need of the recipient. The context of the informational message for the author includes the main purpose of creating the message, and for the recipient, the satisfaction of the informational need. For the author, the text is a way of transmitting the message, and for the recipient, it is a source of information. The linguistic activity of the author is focused on the effective satisfaction of consumers’ information needs and on achieving a certain influence on the consciousness of the recipient. The main means of communication is the language of the message of scientific and technical orientation, which expresses its main content, semantic content, logical structure of the information component, which facilitates the process of decoding and assimilation of the message. The structure of a scientific and technical text depends on the genre and target audience. The genre can be viewed as a way of influencing the recipient's consciousness.
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Poltavets, Yuliya. "Formal and semantic features of abstracts to modern Ukrainian linguistics books." Synopsis: Text Context Media 27, no. 2 (2021): 96–104. http://dx.doi.org/10.28925/2311-259x.2021.2.8.
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The aim of the research is to find out the formal and semantic features of abstracts to modern books on linguistics. The following tasks were performed to achieve this aim: to characterize the compositional and information structure, as well as linguistic and stylistic means of abstracts; to find out factors influencing the choice of form and content of the secondary document. Descriptive, comparative, bibliographic, bibliographic-functional methods, partly structural-typological, as well as social-communication-informational and documentary approaches were used. The scientific novelty of the research is that for the first time the texts of abstracts to scientific and popular science books on linguistics were analyzed comprehensively, in the unity of form and content. The material of the research in a specific academic field made it possible to consider the abstracts objectively, not in general, and to illustrate their features through examples. As the results of the study, it was found that abstracts to scientific publications can be marked, unmarked and mixed according to the structural and compositional features. The markers ensure coherence of the text, they organize and structure it. Unmarked abstracts inform about the publication in any form, highlighting the same information elements of the book’s content (novelty of the material, aspects of the study, its source base, results, etc.). A typical abstract to monographs on linguistics is an indicative two-paragraph text, which is organized with the help of markers and provides information about the thematic and semantic features of the specialist work of writing. The choice of the form and content of the abstract depends on the type of the primary document and on the type of the abstract by functional purpose. Abstracts to scientific publications are objective and moderate, while abstracts to popular science books are characterized by expressiveness, imagery, richness of linguistic and stylistic means.
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Nikiforova, Yevgeniia, and Elizaveta Galitska. "Standards of textuality in perfume and cosmetic names." Actual issues of Ukrainian linguistics theory and practice, no. 41 (2020): 62–78. http://dx.doi.org/10.17721/apultp.2020.41.62-78.
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This article deals with the problem of perfume and cosmetic names. Special attention is given to the peculiarities of names in the context of textuality. Perfume and cosmetic names verbalize all features, qualities and individual characteristics of these goods. They create the naming space that consists of four nominative components: brand, basic, genitive and functional-descriptive. It is the basic nominative component that reflects the main part of information about perfumes and cosmetic goods. Four nominative components function as corresponding text information blocks. It means that perfume and cosmetic name combines two spaces. The first space is naming that is represented with the integrated perfume and cosmetic naming complex. The complex grasps four nominative components. The second space is informational that stores the necessary volume of information and creates a communicative background. The information scope is kept in the text construction. The volume of information is divided into four relevant text blocks. Together all these blocks form text boundaries which outline the text construction. The text construction is characterized by two interdependent features coexisting in the integrated perfume and cosmetic naming complex such as discreteness and wholeness. This is a very significant cohesive factor within the text construction. Cohesion is realized on the lexical level involving the mechanism of repetition which is the part of reiteration. On the other hand, repetition may be complete (the naming unit is repeated literally) and partial (the naming unit is repeated partly). The repetition may be between nearest blocks (having common side) and distant blocks (without a common side). The result of the research broadens the set of naming units adding to word, phrase and sentence the next unit recognized as text.
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van Rooy, Bertus. "A multidimensional analysis of student writing in Black South African English." English World-Wide 29, no. 3 (2008): 268–305. http://dx.doi.org/10.1075/eww.29.3.03van.
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Evidence for the status of Black South African English (BlSAfE) as a variety of English is ambiguous. This paper examines 67 linguistic features of a corpus of BlSAfE student writing, the Tswana Learner English Corpus (TLE), in comparison to a Standard English reference corpus, the Louvain Corpus of Native English Speaking Students (LOCNESS), within the framework of Biber’s (1988) multidimensional model, to determine if evidence for indigenisation and systematicity exists. Linguistic features that occur more frequently in LOCNESS than the TLE suggest that LOCNESS is characterised by greater elaboration of information and information density, more syntactically complex subordination, more reference cohesion and more specialised meanings. The TLE shows evidence of greater involvement of reader and writer of the text, although some features of informality also occur in LOCNESS. Based on comparison of the coefficients of variation in the two corpora, it is concluded that they exhibit similar ranges of variation and that variety status cannot be denied to BlSAfE on the grounds of variability. The application of the multidimensional model shows that the reference corpus, LOCNESS, is similar to academic writing in four of the six dimensions, but differs in being more involved in style and more overtly persuasive. Superficially, the TLE appears to be quite similar to LOCNESS in terms of the various dimensions, but closer examination reveals a number of differences, which largely confirm the findings that were made on the basis of individual feature comparisons: The TLE carries a lower informational density, and information is more often presented in hypothetical ways. It shows a number of similarities with the style and the information processing strategies attributed to spoken registers, but it still remains very clearly distinguishable from spoken language. Many similarities between the corpora are observed, which should be attributed to the register features of student writing. The paper concludes that there is sufficient evidence to acknowledge BlSAfE as a variety of English, on the ground of the stylistic differences between the TLE and LOCNESS, particularly its greater interpersonal as opposed to informational focus, as well as discourse-functional differences in the use of linguistic forms.
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Gardner, Sheena, Hilary Nesi, and Douglas Biber. "Discipline, Level, Genre: Integrating Situational Perspectives in a New MD Analysis of University Student Writing." Applied Linguistics 40, no. 4 (2018): 646–74. http://dx.doi.org/10.1093/applin/amy005.
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Abstract While there have been many investigations of academic genres, and of the linguistic features of academic discourse, few studies have explored how these interact across a range of university student writing situations. To counter misconceptions that have arisen regarding student writing, this article aims to provide comprehensive linguistic descriptions of a wide range of university assignment genres in relation to multiple situational variables. Our new multidimensional (MD) analysis of the British Academic Written English (BAWE) corpus identifies clusters of linguistic features along four dimensions, onto which academic disciplines, disciplinary groups, levels of study, and genre families are mapped. The dimensions are interpreted through text extracts as: (i) Compressed Procedural Information versus Stance towards the Work of Others; (ii) Personal Stance; (iii) Possible Events versus Completed Events; and (iv) Informational Density. Clusters of linguistic features from the comprehensive set of situational perspectives found across this framework can be selected to inform the teaching of a ‘common academic core’, and to inform the design of programmes tailored to the needs of specific disciplines.
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Egbert, Jesse, and Michaela Mahlberg. "Fiction – one register or two?" Register Studies 2, no. 1 (2020): 72–101. http://dx.doi.org/10.1075/rs.19006.egb.
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Abstract In this paper our focus is on analyzing register variation within fiction, rather than between fiction and other registers. By working with subcorpora that separate text within and outside of quotation marks, we appromixate fictional speech and narration. This enables us to identify and compare linguistic features with regard to different situational contexts in the fictional world. We focus in particular on the novels of Charles Dickens and a reference corpus of other 19th-century fiction. Our main method for the register analysis is Multi-dimensional Analysis (MDA) for which we draw on altogether four dimensions from two previous MDAs. The linguistic distinctions we identify highlight similarities between fictional speech and involved registers such as face-to-face communication, and between narration and more informational and narrative prose. In addition to the detailed information on register features that characterize speech and narration, the paper raises more general questions about the ability of register studies to deal with situational contexts within fiction.
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Lysenko, Natalya. "GRAPHIC MEANS IN THE ENGLISH-LANGUAGE EXPRESSIVE COMPRESSED TEXTS." English and American Studies 1, no. 16 (2019): 166–72. http://dx.doi.org/10.15421/381923.
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This article deals with the consideration of functioning of graphic means on the basis of the English-language expressive compressed texts. The types of abbreviations as well as other graphic peculiarities of the information presentation in the text have been investigated, using examples of English advertising texts, anecdotes, aphorisms, and contemporary American literature. English-language compressed texts have both leading and subordinate features. Their leading feature is increased informational saturation, while the subordinate signs usually include abbreviations, lack of auxiliary and emotionally coloured words. Among the main graphic means used in the English-language compressed texts, various cuts of words in the form of abbreviations, traditional or specific reductions should be noted. One can also mention a special system of the location of the material, which allows to highlight the main information and omit the secondary, significantly reducing the volume. The use of footnotes also helps to save a certain amount of text array. Punctuation marks in compressed text not only make it possible to reduce a certain part of the information, but may also carry additional information load. In general, the use of the mentioned graphic means in English-language compressed texts have been analyzed, the peculiarities of their functioning have been revealed in the article. As the perspectives of the research, it was offered to identify and investigate the existing graphic means in other types of the English-language compressed texts.
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Berkovets, Vira. "Functional field of phonetic word in the modern Ukrainian." Ukrainian Linguistics, no. 47 (2017): 103–11. http://dx.doi.org/10.17721/um/47(2017).103-111.
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This study is devoted to the identification and description of areas of functioning of phonetic words (rhythmical structures, accent-rhythmical structures, rhythmical groups, tacts) in modern Ukrainian. The article highlights the features of using of phonetic words as means of language play in the colloquial, artistic, journalistic (media) functional styles. Also there were investigated the figurative and expressive potential of phonetic words in fiction; the derivational specificity of such words in aspects of general language and occasional derivation in different functional styles in modern Ukrainian; the functioning of phonetic words as verbal attractants in the modern Ukrainian advertising text. Special attention was paid to role of phonetic words in the occurrence of possible communicative misunderstandings in oral communication by one language or several languages. Finally, we examined the use of phonetic words in the structure of hashtags and memes of different thematic focuses (in particular with the political, economic, promotional, informational and cultural orientation) in modern Ukrainian Internet discourse.
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Sergeeva, Elena V., and Hong Ngok Vu. "Features of speech influence in advertising educational services on the Internet." Media Linguistics 8, no. 1 (2021): 71–82. http://dx.doi.org/10.21638/spbu22.2021.106.
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The article is devoted to the features of speech influence in online advertising of educational services. Educational advertising is a type of advertising aimed at promoting educational services, which aims to form the addressee’s belief in the need to use the services of the advertised educational institution. It is argued that the specificity of pedagogical advertising discourse is determined by the goal setting, the importance of the offer to the recipient, the characteristics of the advertised object and the difficulty of carrying out manipulative influence due to the verifiability of the result. Informational, admonishing, and reminiscent ads are highlighted. Pedagogical advertising is characterized by specific features of methods of speech influence and manipulative tactics. Among the methods of speech influence, the most effective is the method of persuasion. No less important is the role played by the methods of inducement, suggestion and imitation. A characteristic feature of educational advertising is the active use of logical arguments when creating arguments. Using emotional arguments helps to increase the impact of an advertisement’s message. By influencing consumer’s emotions, the addresser offers not only educational services, but also positive emotions. When building an emotional argument in educational advertising, emotional and emotional-evaluative vocabulary is used primarily to arouse positive emotions associated with an educational institution in the recipient. It has been determined that the most frequent means of speech influence in pedagogical advertising are positive evaluative vocabulary and vocabulary with emotional and expressive coloring, a verb in the imperative mood, rhetorical means of expression, and above all tropes and figures. The article reveals that advertising texts in the educational sphere have a large number of expressive syntactic constructions and rhetorical figures (first of all, repetition, question-answer constructions, rhetorical appeal, rhetorical exclamation, antithesis). Manipulative speech influence in educational advertising is not frequent. In the pedagogical advertising text, two main manipulative tactics are distinguished: manipulations based on weaknesses and manipulations based on needs.
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Drozdova, Olga V., and Tatiana F. Berestova. "Psychological Problems of Reading of Troubled Teenagers and Compensatory Features of Interactive Document in their Solution." Bibliotekovedenie [Russian Journal of Library Science] 68, no. 2 (2019): 155–65. http://dx.doi.org/10.25281/0869-608x-2019-68-2-155-165.
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The problem of reader’s indifference of troubled teenagers hinders the development of cultural society; therefore, library-information institutions of the Russian Federation organize reading for this social community. However, library practices have low efficiency due to the lack of scientific knowledge about reader’s motives and informational needs of difficult teenagers, as well as special methods for developing their reading. To develop scientific methods for correcting the reading of difficult adolescents, taking into account their psycho-physiological features, the authors conducted the applied study based on the knowledge of the psychology of reading. The purpose of the article is to highlight the results of research aimed at studying the reader characteristics of socially troubled teenager and the method of organizing the reading in libraries. As a result, the authors revealed that the weakness of the emotional-volitional sphere, the involuntary attention, the inability to perceive and retain a large number of printed characters in consciousness is the basis of the reader’s failure of difficult adolescents. From this circumstance arose the question of using stimulating components in the reading process. Understanding the psychological features of the perception of text by troubled teenagers has allowed to assume that characteristics of the interactive document are the most suitable for them as external stimulus of reading. The data obtained in the psychological-pedagogical experiment indicated that interactive document compensates for the inadequate associative determinants of difficult teenager in the perception of printed documents, promotes visualization of literary images, which, in turn, contributes to the formation of motivational attitudes to reading and satisfies the information need. The authors consider the specific feature of interactive documents, which allows presenting the material in a more accessible perception. Reading of interactive documents can serve as a new effective method of the library work to meet the information needs of this social group, and it will expand the organization of reading of troubled teenagers.
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Kodliuk, Yaroslava, Nadiya Bibik, Ihor Kodliuk, Liubov Kodliuk, and Olha Radchenko. "School textbook as an object of pedagogical research." SHS Web of Conferences 104 (2021): 02009. http://dx.doi.org/10.1051/shsconf/202110402009.
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The article deals with investigations of scientists in the field of school textbook theory. The material has been structured taking into account the main components of this field of knowledge: purpose (the dual essence of this type of educational literature has been revealed – it is a carrier of educational content and teaching aids; position of the textbook as a model of integral learning process has been substantiated (systematization, consolidation and control, self-education, integrating, coordinating, developmental-educational), structure (general didactic structure of the school textbook covers the text and non-text components – the apparatus of mastering, illustrative material, orientation apparatus), methods of analysis and evaluation (distinguish traditional and theoretical) – analytical and formalized methods; the structural-functional approach to the textbook analysis has been proved). The peculiarities of textbooks for elementary school have been analyzed: the most complete definition of this phenomenon has been formulated; the leading functions of the textbook addressed to junior students have been defined – informational, developmental, educational, motivational; the features of structural components (taking into account the age of students) have been specified; methods of analysis and evaluation of the textbook have been classified: methods of analysis of the manuscript, methods of evaluation of the textbook itself, diagnostic evaluation ex post facto; a comprehensive approach to the analysis of textbooks for elementary school has been proposed; methods of analysis of certain aspects of the textbook (motivational component, developmental orientation, etc.) have been offered.
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Erokhina, Tatiyana I. "NEKRASOV'S DISCOURSE OF THE MODERN INTERNET SPACE." Yaroslavl Pedagogical Bulletin 117, no. 6 (2020): 157–64. http://dx.doi.org/10.20323/1813-145x-2020-6-117-157-164.
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In modern culture, a special place is occupied by the Internet space, which is a space for obtaining information, communication, constructing virtual reality and self-realization of the individual. The Internet space has a multifunctional nature and is part of the media culture, in the context of which ideas about the creative personality, artistic creativity, and cultural memory are updated. The process of representation of a creative personality in the Internet space is especially actively developing during anniversary events and dates that form an informational occasion. On the eve of the 200th anniversary of Russian poet N. A. Nekrasov, the author of the article turned to understanding the Nekrasov discourse of the modern Internet space. The aim of the research is to analyze the Nekrasov discourse in terms of its representation, specificity, and functions. In the course of the study, the author considered options and ways to represent the poet's work on the Internet: special projects dedicated to the life and work of N. A. Nekrasov were analyzed. There is a tendency to represent biographical information about N. A. Nekrasov on the Internet, which transforms or destroys the stereotypical ideas about the poet received in the course of school education. Special attention is paid to the media technologies of the mythologization of the personality and creativity of N. A. Nekrasov, which are associated with the creation of new myths about the poet as a cultural hero who acquires a trickster beginning, and the mythologization of the Nekrasov chronotope is indicated. The author draws attention to the specifics of the Nekrasov discourse, which is associated with the creation of hypertext in the Internet space. The article considers the principles of hypertextual construction of the Nekrasov discourse, notes its non-linearity, actualization of the creative activity of the addresser and addressee, and features of modeling the Nekrasov text in the Internet space. The author outlined the main functions of the Nekrasov discourse that have informational and symbolic meaning, and noted its positive and negative connotations.
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Butakova, L. O. "The language ability, speech competence, speech activity of Generation Z." Russian language at school 82, no. 4 (2021): 61–74. http://dx.doi.org/10.30515/0131-6141-2021-82-4-61-74.
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The paper aims to demonstrate possible approaches to solving problems arising during comprehensive linguistic description of the language ability, speech competence, speech activity of Generation Z. This purpose was achieved with the help of evaluation of speech acts performed in the process of associating and in the course of spontaneous connected written speech activity. Material: the results of free and directed pair by association tests conducted by the author in 2010–2012, 2015–2016, 2019–2021. Additionally, essay texts about the topics «I and the world around me», «If it were not for computers and tablet computers», «My city» («What places in Omsk do I like to visit? Why? «), «Who do I want to resemble?», «An elderly person. What is he / she like?», «Old age. What is it like? «, «In my old age I will…», «Happiness… as I understand it» were used. The essays were written by school students of the 7th, 8th and 9th forms in 2005, 2010, 2015–2016, 2020. Methods: free and directed pair by association experiments, comprehensive text analysis. The latter enabled the author to define the following parameters: communicative (speech strategies and tactics, communication types), cognitive (actualisation of meanings and cognitive structures), semantic (word selection, distribution of object features, identification of predicates and so on), statistical (the number of words per sentence and sentences per text). The results of the study: specific features of speech actions during free and directed pair by association tests were determined. Additionally, the research revealed that Generation Z members use slang verbal and graphic signs; typical scenarios caused by certain cognitive fragments which are present in their linguistic consciousness prevail. Conclusions: I-to-subject communication is the key means for organising narration, and it dominates the communicative organisation of connected texts independent of the topic. Semantic text development is based on the form and contents of the title and virtually follows it in the reactive dialogical mode. Introductions and conclusions in the essays are reduced. At the informational level, conceptual information outweighs factual and directly develops the thesis implied in the title. The variety of semantic, conceptual, cognitive features of the texts is limited; the essays are devoid of conceptual multiple layers. The development level of teenagers’ discursive thinking, in particular, inadequate development of speech activity determines their mastering of the format of a cohesive speech piece. This is shown in organisational simplicity and insufficient text volume; cohesion is achieved with the help of lexical and syntactic repetition. In the process of written speech, the types of performed speech actions aimed to verbalise meanings are connected with the reproduction of cognitive scenarios (temporal, identification, existential) already formed in the mind. The mentioned scenarios are also manifested during free and directed by pair association in the experimental setting.
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KLYMENTOVA, Olena. "THE MAIN DIRECTIONS OF COMMUNICATIVE DYNAMISM IN THE SPACE OF RELIGIOUS COMMUNICATION." Ezikov Svyat (Orbis Linguarum) 17, no. 2 (2019): 100–108. http://dx.doi.org/10.37708/ezs.swu.v17.i2.11.
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e features of the modern situation in Ukraine demonstrate a growth of the interest in the phenomenon of the linguistic programming of personality, which is correlated to the media, political and religious influences simultaneously. The article is devoted to the categories of communicative ethics and responsibility in the religious discourse. The main directions of renovation of religious communication in Ukraine have been stated. The effects of communicative dynamism are corresponded to the political, marketing, social functions and are represented by the religious advertisement, religious branding, religious tourism, religious naming, media activity of the Orthodox and proselyte religious groups, the different types of convergence with political values. The objects of the research are the hidden aspects of verbal religious communication. The subject of the article is renovating communicative status of religious texts. The tasks are the following: to analyze the innovative forms of communicative interactions in the modern Ukrainian religious discourse. The methodology of the research is based on the current approaches to scientific studying of linguistic suggestion. I use discourse analysis (critical) for the science qualification of interactional aspects, sociopsychological and sociocognitive characteristics, frameworks and contexts.In religious discourse, text representation has some characteristics of the independent semantic field, but in a communicative process a religious text can acquire the forms of power and control, which are used by the religious leaders and institutions. Therefore, the use of mass media channels for retranslation of religious ideas, in which the media literacy is ignored, promotes the growth of all types of verbal manipulation. In Ukraine the present-day informational situation is determined by the needs of popularisation of knowledge about existing manipulative technologies and linguistic manipulative techniques, in particular.
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Biber,, Douglas. "Register as a predictor of linguistic variation." Corpus Linguistics and Linguistic Theory 8, no. 1 (2012): 9–37. http://dx.doi.org/10.1515/cllt-2012-0002.
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AbstractOver the last two decades, corpus analysis has been used as the basis for several important reference grammars and dictionaries of English. While these reference works have made major contributions to our understanding of English lexis and grammar, most of them share a major limitation: the failure to consider register differences. Instead, most reference works describe lexico-grammatical patterns as if they applied generally to English.The main goal of the present paper is to challenge this practice and the underlying assumption that the patterns of lexical-grammatical use in English can be described in general/global terms. Specifically, I argue that descriptions of the average patterns of use in a general corpus do not accurately describe any register. Rather, the patterns of use in speech are dramatically different from the patterns in writing (especially academic writing), and so minimally an adequate description must recognize the two major poles in this continuum (i.e., conversation versus informational written prose).The paper begins by comparing two general corpus approaches to the study of language use: variationist and text-linguistic. Although both approaches can be used to investigate the use of words, grammatical features, and registers, the two approaches differ in their bases: the first gives primacy to each linguistic token, while the second gives primacy to each text. This difference has important consequences for the overall research design, the kinds of variables that can be measured, the statistical techniques that can be applied, and the particular research questions that can be asked. As a result, the importance of register has been more apparent in text-linguistic studies than in studies of linguistic variation.The bulk of the paper, then, argues for the importance of register at all linguistic levels: lexical, grammatical, and lexico-grammatical. Analyses comparing conversation and academic writing are discussed for each level, showing how a general ‘average’ description includes some characteristics that are not applicable to one or the other register, while also omitting other important patterns of use found in particular registers.
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Vasilyev, Nikolay, and Dmitry Zhatkin. "“Pushkin Dictionary” by G.A. Shengeli: The unpublished article by the author of the concordance of A.S. Pushkin’s poems." Literary Fact, no. 15 (2020): 458–76. http://dx.doi.org/10.22455/2541-8297-2020-15-458-476.
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The publication introduces into scientific circulation an article by G.A. Shengeli (1894 – 1956), dedicated to “Pushkin's Dictionary” prepared by him in the second half of the 1930s, which was conceived as a concordance of the classic’s poetry, but remained unpublished (the manuscript was most likely lost). Dated 1955 by the authors and written by Shengeli to notify writers and scholars about the goals, structure and informational possibilities of the “Pushkin Dictionary”, the article is still relevant, being one of the few concrete testimonies of the scientist’s intention to study Pushkin’s language and linguistic poetics. The text is published according to the typescript with the author’s corrections, preserved in the fund of the journal "Oktiabr’" in the Russian State Archives of Literature and Arts. In Shengeli’s article it is noted that the very idea of compiling a dictionary to the works by Pushkin as the creator of the Russian literary language arose long ago, but the lack of scientifically reliable Pushkin editions hindered the implementation of the plan. The compilers of the Pushkin Dictionary took as a basis the texts of the 1936 six-volume Collected Works, issued by the Goslitizdat, where, according to the scientist, this problem was generally overcome. Highlighting the explanatory dictionary and the concordance dictionary as two main types of works describing the linguistic features of one or another author, Shengeli argues the choice of concordance, presented in the form of a set of dictionaries, united by a common word index, for composing the corpus of Pushkin's poetic language.
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Kamaleeva, A. R., and V. V. Slepushkin. "ELECTRONIC EDUCATIONAL PUBLICATIONS ON THE HISTORY OF RUSSIA IN THE CONTEXT OF DIGITALIZATION OF THE LEARNING PROCESS." Izvestiya of the Samara Science Centre of the Russian Academy of Sciences. Social, Humanitarian, Medicobiological Sciences 22, no. 75 (2020): 40–46. http://dx.doi.org/10.37313/2413-9645-2020-22-75-40-46.
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The article points out the importance of electronic books for digital izing education. It touches upon a brief story of appearance and development of electronic books, the experience of their implementation in schools in South Korea, Finland, the United States of America, and the Russian Federation. During COVID-19 pandemic online format of education has become universal at schools and revealed new contradictions and problems. Also, it highlights the main advantages of electronic books (multimedia possibilities, relevance, individual approach, wide use of media materials etc.) and the main disadvantages (compatibility with different operating systems, mechanical fragility, the price of a device). The Author talks about the plot, structure and level of complexity and different versions of a textbook). The article demonstrates the key phases of the creation process and distinctive features of Shatalov school’s electronic books and, their conformity to requirements of the Ministry of Education of the Russian Federation. The focus of this earticle is that the content of electronic books corresponds to learning how people absorb information, the laws of natural perception of information and a student’s cognitive abilities. The article justifies the idea that text in an electronic book should be brief, easy to read, should actively use bearing summaries and bearing signals. The article analyzes methods of variable repetition of educational data in an electronical textbook and self-assessment. It demonstrates its multimedia possibilities in full, widgets from iBooks Author and methods of its implementation to electronic books. The conclusion of the article demonstrates that an e-bookalong with a special software is a key element of an informational and education alenvironment. The use of electronic books is one of the ways to shape students’cognitive activities and digital hygiene. The Author arrives to the conclusion that a rational combination and complex application of printed and electronic books in school education is necessary
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Pakshina, Iraida A., and Elena S. Rus’kina. "Cities of Mordovia: identity in media discourse." Вестник Пермского университета. Философия. Психология. Социология, no. 2 (2020): 328–43. http://dx.doi.org/10.17072/2078-7898/2020-2-328-343.
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Nowadays, the city with its unique local and historical features is placed into the focus of the modern urban media. Media text verbalizes the results of a person’s subjective perception of the surrounding urban space and represents the identity of the city. The purpose of this article is to identify the representation of the «urban identity» concept in the media of the Republic of Mordovia — both in city and republican newspapers and social networks. The authors conducted content analysis of the articles published in city newspapers and the comments to the posts of local Internet communities regarding their ideas about the city. Analysis of the print media deduced that the municipal authorities realize the urgency of the urban identity formation under the competition for human, informational and economic resources. The editorial boards of newspapers do a lot to create a positive image of the city. Local urban Internet communities, which has recently appeared in the regional media space, have a powerful influence on public opinion. Their communication is built mainly around the private problems of everyday urban life and is accompanied by negative evaluation of those. It was established that active discussion of problems leads to active post-discussion, post-provocation, post-hype, post-photography, post – criticism of the authorities, post – dialogue with a representative of the authorities, post – question and post-game. There is an asymmetry in the representation of the city image created, on the one hand, by the print media, and, on the other hand, by the participants in the Internet communities. The study identified the markers that can be significant for the citizens. It also detected the dependence of the construction of the Mordovia’s cities identity and its representation and the communicative practices of the urban population.
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Дружинина, М. В., В. А. Марьянчик, and С. Янань. "On of the Discourse of the Russian-Language Version of Chinese Universities' Websites." Иностранные языки в высшей школе, no. 3(54) (December 18, 2020): 67–76. http://dx.doi.org/10.37724/rsu.2020.54.3.006.
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Веб-сайты как знаки и инструменты культурного пространства играют особую роль в организации социального взаимодействия. Многие университеты создали и совершенствуют веб-сайты, которые дают больше возможностей для развития многоуровневого образования, являются неотъемлемой частью информационного пространства и образовательного маркетинга. В статье представлены материалы русскоязычной версии сайтов китайских университетов с позиций дискурсивного анализа, выявлены их языковые и культурологические особенности. Дискурсивный контент веб-сайтов рассматривается в статье как поликодовый текст. Веб-сайты имеют свою структуру и являются важной составляющей специфического институционального дискурса — официального информационного интернет-дискурса образовательной организации. Основными разделами сайта являются рубрики об университете, обучении, поступлении и др. Визуальные схемы и дизайн сайтов следует относить к специфическим текстовым категориям анализируемого гипержанра. Веб-сайты русскоязычной версии китайских университетов занимают значительное место в коммуникативном, информационном, политическом, идеологическом и образовательном международном пространстве. Они являются своеобразным транслятором актуальных социальных ценностей и государственной политики. Структура, композиция материалов и дизайн интерфейса напрямую зависят от исторических, культурных и политических траекторий развития Китая, поэтому имеют ярко выраженные культурологические особенности. Языковой анализ интернет-дискурса веб-сайтов университетов проводился на морфологическом, лексическом и синтаксическом уровнях. Обнаружены такие языковые особенности интернет-дискурса русскоязычной версии сайтов китайских университетов, как метафоры, акронимы, синтаксическая краткость в виде номинативных предложений, особая семантика глаголов и др. Websites as signs and tools of cultural space play a role in organizing social interaction. Many universities have created and are improving websites that provide more opportunities for the development of multi-level education and are an integral part of the information space and educational marketing. The article presents the materials of the Russian-language version of Chinese universities' websites from the standpoint of discursive analysis and reveals their linguistic and cultural features. The article considers the discursive content of websites as a polycode text. Websites have their own structure and are an important component of a specific institutional discourse — the official informational Internet-discourse of an educational organization.The main sections of the site are sections about the university, training, admission and others. The visuals and design of the sites should be attributed to specific text categories of analyzed hyper-genre. Websites of the Russian-language version of Chinese universities occupy a significant place in the international communication, information, political, ideological and educational space. They are a kind of translator of current social values and state policy. The structure, composition of materials and design of the interface directly depend on the historical, cultural and political trajectories of China's development, therefore they have pronounced cultural characteristics. Language analysis of the Internet discourse of websites of universities was carried out at the morphological, lexical and syntactic levels. We found such linguistic features of the Internet discourse of the Russian-language version of Chinese universities' websites as: metaphors, acronyms, syntactic brevity in the form of nominative sentences, special semantics of verbs and so on.
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Wang, Hao, and Sanhong Deng. "A paper-text perspective." Electronic Library 35, no. 4 (2017): 689–708. http://dx.doi.org/10.1108/el-09-2016-0192.
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Purpose In the era of Big Data, network digital resources are growing rapidly, especially the short-text resources, such as tweets, comments, messages and so on, are showing a vigorous vitality. This study aims to compare the categories discriminative capacity (CDC) of Chinese language fragments with different granularities and to explore and verify feasibility, rationality and effectiveness of the low-granularity feature, such as Chinese characters in Chinese short-text classification (CSTC). Design/methodology/approach This study takes discipline classification of journal articles from CSSCI as a simulation environment. On the basis of sorting out the distribution rules of classification features with various granularities, including keywords, terms and characters, the classification effects accessed by the SVM algorithm are comprehensively compared and evaluated from three angles of using the same experiment samples, testing before and after feature optimization, and introducing external data. Findings The granularity of a classification feature has an important impact on CSTC. In general, the larger the granularity is, the better the classification result is, and vice versa. However, a low-granularity feature is also feasible, and its CDC could be improved by reasonable weight setting, even exceeding a high-granularity feature if synthetically considering classification precision, computational complexity and text coverage. Originality/value This is the first study to propose that Chinese characters are more suitable as descriptive features in CSTC than terms and keywords and to demonstrate that CDC of Chinese character features could be strengthened by mixing frequency and position as weight.
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Tan, Jin Boon Benjamin, Quan Chen, and Chai Kiat Yeo. "Project Reporting Management System with AI based Assistive Features for Text Summarization." International Journal of Machine Learning and Computing 11, no. 1 (2021): 21–27. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1009.
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This paper details a proof-of-concept system called Project Reporting Management System (PRMS) to manage the project reporting process in a typical research centre where the process can be manual for many centres. In fact, it is general enough to be scaled up and deployed for a large department or scaled down for a smaller setup in any organization which needs a simple and efficient project progress reporting system but does not entail the kind of complexity and cost of commercial project management systems. Using a research centre scenario, the progress of the individual projects has to be tracked through the periodic submission of progress reports by the Principal Investigator (PI) of the project. The centre will need to consolidate these individual reports manually into a consolidated report and an executive summary for higher management. PRMS automates the tracking of individual projects and reporting deadlines, sends reminders and allows online submission of reports by the PIs. PRMS also incorporates assistive and automated features exploiting Machine Learning (ML) and Natural Language Processing (NLP) techniques to generate the consolidated report and rank sentences of verbose report for assistive text summarization to facilitate the manual process of producing an executive summary.
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Na, Sung-Hee, Jung-In Kim, Eun-Ji Lee, and Pan-Koo Kim. "A Study on the Short Text Categorization using SNS Feature Informations." Journal of Korean Institute of Information Technology 14, no. 6 (2016): 159. http://dx.doi.org/10.14801/jkiit.2016.14.6.159.
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MONTAÑÉS, E., J. R. QUEVEDO, E. F. COMBARRO, I. DÍAZ, and J. RANILLA. "A HYBRID FEATURE SELECTION METHOD FOR TEXT CATEGORIZATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 02 (2007): 133–51. http://dx.doi.org/10.1142/s0218488507004492.
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Feature Selection is an important task within Text Categorization, where irrelevant or noisy features are usually present, causing a lost in the performance of the classifiers. Feature Selection in Text Categorization has usually been performed using a filtering approach based on selecting the features with highest score according to certain measures. Measures of this kind come from the Information Retrieval, Information Theory and Machine Learning fields. However, wrapper approaches are known to perform better in Feature Selection than filtering approaches, although they are time-consuming and sometimes infeasible, especially in text domains. However a wrapper that explores a reduced number of feature subsets and that uses a fast method as evaluation function could overcome these difficulties. The wrapper presented in this paper satisfies these properties. Since exploring a reduced number of subsets could result in less promising subsets, a hybrid approach, that combines the wrapper method and some scoring measures, allows to explore more promising feature subsets. A comparison among some scoring measures, the wrapper method and the hybrid approach is performed. The results reveal that the hybrid approach outperforms both the wrapper approach and the scoring measures, particularly for corpora whose features are less scattered over the categories.
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Qiao, Chen, and Xiao Hu. "Text classification for cognitive domains: A case using lexical, syntactic and semantic features." Journal of Information Science 45, no. 4 (2018): 516–28. http://dx.doi.org/10.1177/0165551518802522.
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Various automated classifiers have been implemented to categorise learning-related texts into cognitive domains. However, existing studies have applied limited linguistic features, and most have focused on texts written in English, with little attention given to Chinese. This study has tried to fill the gaps by applying a comprehensive set of features that have rarely been used collectively in previous research, with a focus on Chinese analytical texts. Experiments were conducted for classifier learning and evaluation, where a feature selection procedure significantly improved the classification performance. The results showed that different types of features complemented each other in forming strong collective representations of the original texts, and the discriminant nature of the features can be reasonably explained by language usage phenomena. The proposed approach could potentially be applied to other datasets of analytical writings involving cognitive domains, and the text features explored could be reused and further refined in future studies.
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Massey, Philip M., Matthew D. Kearney, Michael K. Hauer, Preethi Selvan, Emmanuel Koku, and Amy E. Leader. "Dimensions of Misinformation About the HPV Vaccine on Instagram: Content and Network Analysis of Social Media Characteristics." Journal of Medical Internet Research 22, no. 12 (2020): e21451. http://dx.doi.org/10.2196/21451.
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Background The human papillomavirus (HPV) vaccine is a major advancement in cancer prevention and this primary prevention tool has the potential to reduce and eliminate HPV-associated cancers; however, the safety and efficacy of vaccines in general and the HPV vaccine specifically have come under attack, particularly through the spread of misinformation on social media. The popular social media platform Instagram represents a significant source of exposure to health (mis)information; 1 in 3 US adults use Instagram. Objective The objective of this analysis was to characterize pro- and anti-HPV vaccine networks on Instagram, and to describe misinformation within the anti-HPV vaccine network. Methods From April 2018 to December 2018, we collected publicly available English-language Instagram posts containing hashtags #HPV, #HPVVaccine, or #Gardasil using Netlytic software (n=16,607). We randomly selected 10% of the sample and content analyzed relevant posts (n=580) for text, image, and social media features as well as holistic attributes (eg, sentiments, personal stories). Among antivaccine posts, we organized elements of misinformation within four broad dimensions: 1) misinformation theoretical domains, 2) vaccine debate topics, 3) evidence base, and 4) health beliefs. We conducted univariate, bivariate, and network analyses on the subsample of posts to quantify the role and position of individual posts in the network. Results Compared to provaccine posts (324/580, 55.9%), antivaccine posts (256/580, 44.1%) were more likely to originate from individuals (64.1% antivaccine vs 25.0% provaccine; P<.001) and include personal narratives (37.1% vs 25.6%; P=.003). In the antivaccine network, core misinformation characteristics included mentioning #Gardasil, purporting to reveal a lie (ie, concealment), conspiracy theories, unsubstantiated claims, and risk of vaccine injury. Information/resource posts clustered around misinformation domains including falsification, nanopublications, and vaccine-preventable disease, whereas personal narrative posts clustered around different domains of misinformation, including concealment, injury, and conspiracy theories. The most liked post (6634 likes) in our full subsample was a positive personal narrative post, created by a non-health individual; the most liked post (5604 likes) in our antivaccine subsample was an informational post created by a health individual. Conclusions Identifying characteristics of misinformation related to HPV vaccine on social media will inform targeted interventions (eg, network opinion leaders) and help sow corrective information and stories tailored to different falsehoods.
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Xiao-Bing Xue and Zhi-Hua Zhou. "Distributional Features for Text Categorization." IEEE Transactions on Knowledge and Data Engineering 21, no. 3 (2009): 428–42. http://dx.doi.org/10.1109/tkde.2008.166.
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Onan, Aytuğ. "An ensemble scheme based on language function analysis and feature engineering for text genre classification." Journal of Information Science 44, no. 1 (2016): 28–47. http://dx.doi.org/10.1177/0165551516677911.
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Text genre classification is the process of identifying functional characteristics of text documents. The immense quantity of text documents available on the web can be properly filtered, organised and retrieved with the use of text genre classification, which may have potential use on several other tasks of natural language processing and information retrieval. Genre may refer to several aspects of text documents, such as function and purpose. The language function analysis (LFA) concentrates on single aspect of genres and it aims to classify text documents into three abstract classes, such as expressive, appellative and informative. Text genre classification is typically performed by supervised machine learning algorithms. The extraction of an efficient feature set to represent text documents is an essential task for building a robust classification scheme with high predictive performance. In addition, ensemble learning, which combines the outputs of individual classifiers to obtain a robust classification scheme, is a promising research field in machine learning research. In this regard, this article presents an extensive comparative analysis of different feature engineering schemes (such as features used in authorship attribution, linguistic features, character n-grams, part of speech n-grams and the frequency of the most discriminative words) and five different base learners (Naïve Bayes, support vector machines, logistic regression, k-nearest neighbour and Random Forest) in conjunction with ensemble learning methods (such as Boosting, Bagging and Random Subspace). Based on the empirical analysis, an ensemble classification scheme is presented, which integrates Random Subspace ensemble of Random Forest with four types of features (features used in authorship attribution, character n-grams, part of speech n-grams and the frequency of the most discriminative words). For LFA corpus, the highest average predictive performance obtained by the proposed scheme is 94.43%.
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Kumar, H. M. Keerthi, and B. S. Harish. "A New Feature Selection Method for Sentiment Analysis in Short Text." Journal of Intelligent Systems 29, no. 1 (2018): 1122–34. http://dx.doi.org/10.1515/jisys-2018-0171.
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Abstract In recent internet era, micro-blogging sites produce enormous amount of short textual information, which appears in the form of opinions or sentiments of users. Sentiment analysis is a challenging task in short text, due to use of formal language, misspellings, and shortened forms of words, which leads to high dimensionality and sparsity. In order to deal with these challenges, this paper proposes a novel, simple, and yet effective feature selection method, to select frequently distributed features related to each class. In this paper, the feature selection method is based on class-wise information, to identify the relevant feature related to each class. We evaluate the proposed feature selection method by comparing with existing feature selection methods like chi-square ( χ2), entropy, information gain, and mutual information. The performances are evaluated using classification accuracy obtained from support vector machine, K nearest neighbors, and random forest classifiers on two publically available datasets viz., Stanford Twitter dataset and Ravikiran Janardhana dataset. In order to demonstrate the effectiveness of the proposed feature selection method, we conducted extensive experimentation by selecting different feature sets. The proposed feature selection method outperforms the existing feature selection methods in terms of classification accuracy on the Stanford Twitter dataset. Similarly, the proposed method performs competently equally in terms of classification accuracy compared to other feature selection methods in most of the feature subsets on Ravikiran Janardhana dataset.
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Losada, David E., and Javier Parapar. "Psychological Features for Automatic Text Summarization." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, Suppl. 2 (2017): 129–49. http://dx.doi.org/10.1142/s0218488517400153.
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Automatically summarizing a document requires conveying the important points of a large document in only a few sentences. Extractive strategies for summarization are based on selecting the most important sentences from the input document(s). We claim here that standard features for estimating sentence importance can be effectively combined with innovative features that encode psychological aspects of communication. We employ Quantitative Text analysis tools for estimating psychological features and we inject them into state-of-the-art extractive summarizers. Our experiments demonstrate that this novel set of features is a good guidance for selecting salient sentences. Our empirical study concludes that psychological features are best suited for hard summarization cases. This motivated us to formally define and study the problem of predicting the difficulty of summarization. We propose a number of predictors to model the difficulty of every summarization problem and we evaluate several learning methods to perform this prediction task.
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Guo, Jiunn-Liang, Hei-Chia Wang, and Ming-Way Lai. "A feature selection approach for automatic e-book classification based on discourse segmentation." Program 49, no. 1 (2015): 2–22. http://dx.doi.org/10.1108/prog-12-2012-0071.
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Purpose – The purpose of this paper is to develop a novel feature selection approach for automatic text classification of large digital documents – e-books of online library system. The main idea mainly aims on automatically identifying the discourse features in order to improving the feature selection process rather than focussing on the size of the corpus. Design/methodology/approach – The proposed framework intends to automatically identify the discourse segments within e-books and capture proper discourse subtopics that are cohesively expressed in discourse segments and treating these subtopics as informative and prominent features. The selected set of features is then used to train and perform the e-book classification task based on the support vector machine technique. Findings – The evaluation of the proposed framework shows that identifying discourse segments and capturing subtopic features leads to better performance, in comparison with two conventional feature selection techniques: TFIDF and mutual information. It also demonstrates that discourse features play important roles among textual features, especially for large documents such as e-books. Research limitations/implications – Automatically extracted subtopic features cannot be directly entered into FS process but requires control of the threshold. Practical implications – The proposed technique has demonstrated the promised application of using discourse analysis to enhance the classification of large digital documents – e-books as against to conventional techniques. Originality/value – A new FS technique is proposed which can inspect the narrative structure of large documents and it is new to the text classification domain. The other contribution is that it inspires the consideration of discourse information in future text analysis, by providing more evidences through evaluation of the results. The proposed system can be integrated into other library management systems.
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Figueiredo, Fábio, Leonardo Rocha, Thierson Couto, Thiago Salles, Marcos André Gonçalves, and Wagner Meira Jr. "Word co-occurrence features for text classification." Information Systems 36, no. 5 (2011): 843–58. http://dx.doi.org/10.1016/j.is.2011.02.002.
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Maddumala, Venkata Rao, and Arunkumar R. "A Weight Based Feature Extraction Model on Multifaceted Multimedia Bigdata Using Convolutional Neural Network." Ingénierie des systèmes d information 25, no. 6 (2020): 729–35. http://dx.doi.org/10.18280/isi.250603.
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This paper intends to present main technique for feature extraction on multimeda getting well versed and a challenging task to handle big data. Analyzing and feature extracting valuable data from high dimensional dataset challenges the bounds of measurable methods and strategies. Conventional techniques in general have less performance while managing high dimensional datasets. Lower test size has consistently been an issue in measurable tests, which get bothered in high dimensional information due to more equivalent or higher component size than the quantity of tests. The intensity of any measurable test is legitimately relative to its capacity to lesser an invalid theory, and test size is a significant central factor in producing probabilities of errors for making substantial ends. Thus one of the effective methods for taking care of high dimensional datasets is by lessening its measurement through feature selection and extraction with the goal that substantial accurate data can be practically performed. Clustering is the act of finding hidden or comparable data in information. It is one of the most widely recognized techniques for realizing useful features where a weight is given to each feature without predefining the various classes. In any feature selection and extraction procedures, the three main considerations of concern are measurable exactness, model interpretability and computational multifaceted nature. For any classification model, it is important to ensure that the productivity of any of these three components isn't undermined. In this manuscript, a Weight Based Feature Extraction Model on Multifaceted Multimedia Big Data (WbFEM-MMB) is proposed which extracts useful features from videos. The feature extraction strategies utilize features from the discrete cosine methods and the features are extracted using a pre-prepared Convolutional Neural Network (CNN). The proposed method is compared with traditional methods and the results show that the proposed method exhibits better performance and accuracy in extracting features from multifaceted multimedia data.
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Xiang, Yanmin, Hongye He, and Jin Zheng. "Aspect Term Extraction Based on MFE-CRF." Information 9, no. 8 (2018): 198. http://dx.doi.org/10.3390/info9080198.
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This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP). This paper proposes MFE-CRF that introduces Multi-Feature Embedding (MFE) clustering based on the Conditional Random Field (CRF) model to improve the effect of aspect term extraction in ABSA. First, Multi-Feature Embedding (MFE) is proposed to improve the text representation and capture more semantic information from text. Then the authors use kmeans++ algorithm to obtain MFE and word clustering to enrich the position features of CRF. Finally, the clustering classes of MFE and word embedding are set as the additional position features to train the model of CRF for aspect term extraction. The experiments on SemEval datasets validate the effectiveness of this model. The results of different models indicate that MFE-CRF can greatly improve the Recall rate of CRF model. Additionally, the Precision rate also is increased obviously when the semantics of text is complex.
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Wang, Hung-Hsiang, and Chih-Ping Chen. "Comparison of Chi-Square Test and Representative Decision Tree in Features that Influence Vehicle Style." International Journal of Machine Learning and Computing 11, no. 5 (2021): 333–38. http://dx.doi.org/10.18178/ijmlc.2021.11.5.1057.
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Forsyth, RS, and DI Holmes. "Feature-finding for text classification." Digital Scholarship in the Humanities 11, no. 4 (1996): 163–74. http://dx.doi.org/10.1093/llc/11.4.163.
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Schulze, Joshua. "Testing: A Systemic Functional View of High Stakes Test Preparation Materials." Colombian Applied Linguistics Journal, no. 11 (April 4, 2011): 80. http://dx.doi.org/10.14483/22487085.155.
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Educators of English language learners (ELLs) frequently use test preparation materials to help ELLs prepare for high stakes language exams. This study uses tools of systemic functional linguistics (SFL) to examine how academic language is used to construct meaning within these test preparation materials. While the test preparation materials and available test excerpts contain a range of genres, this study focuses particularly on informational texts with scientific topics, designed for upper elementary students. The results highlight pedagogical advantages of using SFL to develop genre awareness in ELLs by attending to the linguistic features evident in the genre.
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Paradis, Francois, and Jian-Yun Nie. "Contextual feature selection for text classification." Information Processing & Management 43, no. 2 (2007): 344–52. http://dx.doi.org/10.1016/j.ipm.2006.07.006.
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Singh, Pawan Kumar, Supratim Das, Ram Sarkar, and Mita Nasipuri. "Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images." Journal of Intelligent Systems 27, no. 3 (2018): 465–88. http://dx.doi.org/10.1515/jisys-2016-0070.
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Abstract The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the irrelevant, noisy, and non-contributing features, resulting in acceptable classification accuracy. Harmony search algorithm (HSA) is an evolutionary algorithm that is applied to various optimization problems such as scheduling, text summarization, water distribution networks, vehicle routing, etc. This paper presents a hybrid approach based on support vector machine and HSA for wrapper feature subset selection. This approach is used to select an optimized set of features from an initial set of features obtained by applying Modified log-Gabor filters on prepartitioned rectangular blocks of handwritten document images written in either of 12 official Indic scripts. The assessment justifies the need of feature selection for handwritten script identification where local and global features are computed without knowing the exact importance of features. The proposed approach is also compared with four well-known evolutionary algorithms, namely genetic algorithm, particle swarm optimization, tabu search, ant colony optimization, and two statistical feature dimensionality reduction techniques, namely greedy attribute search and principal component analysis. The acquired results show that the optimal set of features selected using HSA gives better accuracy in handwritten script recognition.
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Mutlu, Begum, Ebru A. Sezer, and M. Ali Akcayol. "Multi-document extractive text summarization: A comparative assessment on features." Knowledge-Based Systems 183 (November 2019): 104848. http://dx.doi.org/10.1016/j.knosys.2019.07.019.
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Karthika, N., and B. Janet. "Feature Pair Index Graph for Clustering." Journal of Intelligent Systems 29, no. 1 (2019): 1179–87. http://dx.doi.org/10.1515/jisys-2018-0338.
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Abstract Text documents are significant arrangements of various words, while images are significant arrangements of various pixels/features. In addition, text and image data share a similar semantic structural pattern. With reference to this research, the feature pair is defined as a pair of adjacent image features. The innovative feature pair index graph (FPIG) is constructed from the unique feature pair selected, which is constructed using an inverted index structure. The constructed FPIG is helpful in clustering, classifying and retrieving the image data. The proposed FPIG method is validated against the traditional KMeans++, KMeans and Farthest First cluster methods which have the serious drawback of initial centroid selection and local optima. The FPIG method is analyzed using Iris flower image data, and the analysis yields 88% better results than Farthest First and 28.97% better results than conventional KMeans in terms of sum of squared errors. The paper also discusses the scope for further research in the proposed methodology.