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Journal articles on the topic 'Text characteristic feature'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

С., П. Галаур. "ТАКСОНОМІЯ КАТЕГОРІЙ ХУДОЖНЬОГО ТЕКСТУ-ДИСКУРСУ". Лінгвістичні дослідження: Зб. наук. праць ХНПУ ім. Г.С. Сковороди, № 46 (14 листопада 2017): 146–53. https://doi.org/10.5281/zenodo.1048781.

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<em>The re-interpretation</em> <em>of communication phenomenon, claiming “to other” focus to be the prerogative, causes consecutive refusal of text’s traditional consideration. The latter is being expounded as empirical substance and real material manifestation of speakers communication intentions as well as their mental universes’ interaction. This way of approach opens further perspective to define artistic text categories’ taxonomy more precisely; the text likewise remains hyponymically-hyperonically connected to the artistic discourse, being its constitutive substratum. The artistic text r

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Božilović, Boško, Branislav M. Todorović, and Miroslav Obradović. "Text–Independent Speaker Recognition Using Two–Dimensional Information Entropy." Journal of Electrical Engineering 66, no. 3 (2015): 169–73. http://dx.doi.org/10.2478/jee-2015-0027.

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AbstractSpeaker recognition is the process of automatically recognizing who is speaking on the basis of speaker specific characteristics included in the speech signal. These speaker specific characteristics are called features. Over the past decades, extensive research has been carried out on various possible speech signal features obtained from signal in time or frequency domain. The objective of this paper is to introduce two-dimensional information entropy as a new text-independent speaker recognition feature. Computations are performed in time domain with real numbers exclusively. Experime

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Wan, Jie, Xue Cao, Kun Yao, Donghui Yang, E. Peng, and Yong Cao. "Data Mining Technology Application in False Text Information Recognition." Mobile Information Systems 2021 (February 11, 2021): 1–13. http://dx.doi.org/10.1155/2021/4206424.

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False information on the Internet is being heralded as serious social harm to our society. To recognize false text information, in this paper, an effective method for mining text features is proposed in the field of false drug advertisements. Firstly, the data of false drug advertisements and real drug advertisements were collected from the official websites to build a database of false and real drug advertisements. Secondly, by performing feature extraction on the text of drug advertisements, this work built a characteristic matrix based on the effective features and assigned positive or nega

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Liu, Zhen Yan, Wei Ping Wang, and Yong Wang. "Design of Text Categorization System Based on SVM." Advanced Materials Research 532-533 (June 2012): 1191–95. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1191.

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This paper introduces the design of a text categorization system based on Support Vector Machine (SVM). It analyzes the high dimensional characteristic of text data, the reason why SVM is suitable for text categorization. According to system data flow this system is constructed. This system consists of three subsystems which are text representation, classifier training and text classification. The core of this system is the classifier training, but text representation directly influences the currency of classifier and the performance of the system. Text feature vector space can be built by dif

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Nandan, Durgesh, Mahesh Kumar Singh, Sanjeev Kumar, and Harendra Kumar Yadav. "Speaker Identification Based on Physical Variation of Speech Signal." Traitement du Signal 39, no. 2 (2022): 711–16. http://dx.doi.org/10.18280/ts.390235.

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Speaker identification for the speech signal processing request, determining the speaker is a challenge due to physical variation. This paper emphasizes a new algorithm based on acoustic feature analysis of text-dependent speech. In this proposed method text-dependent speech changed by ten physical variation methods. Acoustic feature of all types of voice is calculated by its arithmetical correlation coefficients and mean value. The audio characteristic is calculated with Mel-frequency cepstrum coefficient (MFCC), its derivatives and double derivatives. An acoustic characteristic is analysed b

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Luo, Nan-Chao. "Massive Data Mining Algorithm for Web Text Based on Clustering Algorithm." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 2 (2019): 362–65. http://dx.doi.org/10.20965/jaciii.2019.p0362.

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The massive data of Web text has the characteristics of high dimension and sparse spatial distribution, which makes the problems of low mining precision and long time consuming in the process of mining mass data of Web text by using the current data mining algorithms. To solve these problems, a massive data mining algorithm of Web text based on clustering algorithm is proposed. By using chi square test, the feature words of massive data are extracted and the set of characteristic words is gotten. Hierarchical clustering of feature sets is made, TF-IDF values of each word in clustering set are

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LI, YANJUN, D. FRANK HSU, and SOON M. CHUNG. "COMBINATION OF MULTIPLE FEATURE SELECTION METHODS FOR TEXT CATEGORIZATION BY USING COMBINATORIAL FUSION ANALYSIS AND RANK-SCORE CHARACTERISTIC." International Journal on Artificial Intelligence Tools 22, no. 02 (2013): 1350001. http://dx.doi.org/10.1142/s0218213013500012.

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Effective feature selection methods are important for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the corpus. Extensive research has been done to improve the performance of individual feature selection methods. However, it is always a challenge to come up with an individual feature selection method which would outperform other methods in most cases. In this paper, we explore the possibility of improving the overall performance by combining multiple individual feature selection methods. In particular, we propose a metho

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Anpat, Ashok V., and Viplav N. Kavishwar. "Importance of “Kent Repertory” and “concept of Modality” towards the analysis of case of Diseases." Journal of Drug Delivery and Therapeutics 9, no. 4-s (2019): 832–38. http://dx.doi.org/10.22270/jddt.v9i4-s.3427.

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The use of homoeopathic medicine requires skilful observation of specific characteristics feature of case of disease, to resolve it within the shortest period of time. While dealing with acute as well as chronic cases, requires focus attention of homeopathic physician on characteristic features of the case. Modalities are the one of the characteristic symptoms which helps to find prescribing totality in the case of disease. Most of the time these characteristic features are voluntarily narrated by patient himself or observed by homoeopathic physician. In this regards the homoeopathic text name

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Kato, Shogo, Yuuki Kato, and Yasuyuki Ozawa. "Perceived Usefulness of Emoticons, Emojis, and Stickers in Text Messaging." International Journal of Cyber Behavior, Psychology and Learning 8, no. 3 (2018): 9–23. http://dx.doi.org/10.4018/ijcbpl.2018070102.

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In text-based communication, which lacks nonverbal cues, various techniques for expressing communicative intent are now available. Most prominently used are emoticons, emojis, and stickers. Although previous studies have separately examined emoticons and emojis, few have compared their features, and also included comparison with stickers. The authors conducted a survey targeting 300 Japanese young adults to investigate the features of emoticons, emojis, and stickers from the viewpoint of their perceived usefulness. The authors also examined the effects of gender and text-messaging dependency o

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Joe, Yong Lim. "A Study on the Inaugural Address of the President of Korea: Focusing on feature values in Textmining." Liberal Arts Innovation Center 9 (May 30, 2022): 351–79. http://dx.doi.org/10.54698/kl.2022.9.351.

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Unlike artificial languages, natural languages are difficult for computers to process directly. Therefore, it is necessary to process it as structured data. In the end, by giving weight to the sample text, the frequency of appearance in the document was weighted. The inaugural address data was entered through information filtering of text mining, and it was possible to obtain the result of the characteristic value according to the relation to the main word. This study analyzed the vocabulary of the inaugural speeches of past presidents of the Republic of Korea. After refining words

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Grucza, Sambor. "Didaktische Texte im Bereich der Giottodidaktik. Versuch einer Begriffsbestimmung." Glottodidactica. An International Journal of Applied Linguistics 27 (November 1, 2018): 63–76. http://dx.doi.org/10.14746/gl.1999.27.05.

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The aim of the article is to discuss the question of (glotto)didactic texts from the point of view of glottodidactics. The division of texts into didactic and non-didactic can be drawn according to the criteria of glottodidactic relevance of a given text. The glottodidactic relevance can be defined as the applicability of a given text for reaching an expected glottodidactic aim. Authenticity of didactic text is one that is congruous with the communication situation in which, or for which it was formulated. An original didactic text in turn is one which has not been changed in any way with resp

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GOYKHMAN, MIKHAIL, and EVGENY IVANOV. "HIDDEN SUPERSYMMETRY IN POHLMEYER-REDUCED FORM OF AdSn × Sn SUPERSTRINGS." International Journal of Modern Physics: Conference Series 13 (January 2012): 98–107. http://dx.doi.org/10.1142/s2010194512006769.

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We review how the AdS2 × S2, AdS3 × S3 and AdS5 × S5 superstring theories in the Pohlmeyer-reduced form exhibit hidden [Formula: see text], [Formula: see text] and [Formula: see text] worldsheet supersymmetries, with emphasis on the last two cases. Their characteristic feature is the presence of non-local terms in the supersymmetry transformations.

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Payne, Philip B. "Vaticanus Distigme-obelos Symbols Marking Added Text, Including 1 Corinthians 14.34–5." New Testament Studies 63, no. 4 (2017): 604–25. http://dx.doi.org/10.1017/s0028688517000121.

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The two-dot-plus-bar ‘distigme-obelos’ symbols in Vaticanus signal added text. Five characteristic features distinguish their obeloi from paragraphoi. Like scribe B's LXX obeloi, all eight distigme-obelos symbols mark the location of added text. A gap at the exact location of a widely recognised, multi-word addition follows every distigme-obelos except one with distinctive downward dipping strokes. The Vaticanus Gospels are so early that they have virtually no high stops, a feature older than even 75. Consequently, they contain none of these additions, but the Vaticanus epistles have high stop

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Chen, Hua Yue, and Jing Pu. "Based on the Characteris of Learners Personalized-Learning System Design." Applied Mechanics and Materials 380-384 (August 2013): 2786–89. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2786.

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Nowakowski, Nina. "Gattungsvagabund." Beiträge zur Geschichte der deutschen Sprache und Literatur 139, no. 4 (2017): 579–93. http://dx.doi.org/10.1515/bgsl-2017-0046.

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Abstract ›Der witzige Landstreicher‹, an early work in print by Hans Folz, is showing features of different literary genres, i. e. narrative, disputation and shrovetide play (Fastnachtspiel). Accordingly, it’s generic affiliation cannot be clearly determined. The generic hybridity of ›Der witzige Landstreicher‹ is amplified by remarkable medial aspects regarding the printing. This text is the first known print from the city of Nuremberg with a typographic dramatic format (Dramensatz), although it is not quite a dramatic text. Thus, this short text particularly makes comprehensible the generic

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Lu, Xuefeng, Zhihong Cui, Xin Guo, Junqiang Ren, Hongtao Xue, and Fuling Tang. "Research on electronic structure and optical characteristic of S-adsorbed 3C–SiC." Modern Physics Letters B 34, no. 32 (2020): 2050372. http://dx.doi.org/10.1142/s0217984920503728.

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An insight into electronic structure and optical feature of S-adsorbed 3C–SiC (111) surface is carried out employing first-principles calculation. It is found that the [Formula: see text] and B position systems with adsorption energies of 3.880 and 3.895, respectively, are relatively stable compared to the [Formula: see text] and C systems. Impurity energy levels are present near Fermi level in C and [Formula: see text] position adsorption systems and the band-gap decreases obviously in the two systems. A raindrop-like electron cloud of S atom can be observed in [Formula: see text] adsorption

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Pažanin, Marin, and Ivana Petrović. "Sports live text commentary as a hybrid register." St open 3 (December 24, 2022): 1–29. http://dx.doi.org/10.48188/so.3.14.

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Aim: To present and analyze features of live text commen-tary (LTC) as a recent register of the English language using examples from the coverage of UEFA Euro 2020. The paper explores the influence of spoken language and sports an-nouncer talk (SAT) on the register. It focuses on the differ-ences and similarities between LTC and SAT and presents an overview of features unique to LTC.Methods: LTC was examined as a text variety following Chovanec’s (2018) analysis and using the register perspec-tive proposed by Biber and Conrad (2009). Examples from fourteen LTCs reporting on the UEFA Euro 2020

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Wang, Yongxue, and Tee Boon Chuan. "Text Feature Extraction and Representation of Chinese Mental Verbs Based on Deep Learning." Scientific Programming 2022 (September 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/7496054.

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There are some problems in feature extraction and representation of Chinese mental verbs, such as low accuracy and low efficiency. In order to further improve the computational efficiency and accuracy of Chinese mental verb text, based on deep learning theory, activation function and damage function were used to optimize the original model. Considering the calculation method of model gradient, the optimization model describing the characteristics of Chinese mental verbs is finally obtained. The model can be used to analyze the variation of the characteristic parameters of Chinese verbs and the

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Kowalczyk, Joanna. "Compressed Informativeness in Polish Legal Text." Respectus Philologicus, no. 41(46) (April 15, 2022): 43–52. http://dx.doi.org/10.15388/respectus.2022.41.46.106.

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The present paper focuses on one of the main features of legal communication, namely informativeness. The article presents the informativeness of Polish legislative documents as an inherent but not always clearly understood socially feature of legal discourse, which has been regarded as a distinctive characteristic of normative acts. The study includes several levels of approximate semiotisation in relation to the cognitive criterion. The corpus comprises the most important Polish normative texts, namely the Constitution of the Republic of Poland, Criminal Code, Civil Code, and the Code of Civ

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Yu, Hong Tao, Xing Li, and Rui Fei Cui. "A Rapid Image Spam Recognition Method Based on Content Feature Fusion Decision." Applied Mechanics and Materials 321-324 (June 2013): 2623–29. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2623.

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As a variation of spam, image spam can evade the text based filter simply and effectively. Based on the characteristic that this kind of mail is usually generated in manner of template and the image content under the same template are highly similar, this paper proposes a rapid method for identifying image spam by fusing content features. The layout features are first adopted to localize the spam speedily, and then the wavelet transform based content feature fusion decision algorithm is used to determine the spam accurately. The experimental results demonstrate that the proposed method is fast

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Nisa, Aesmitul, and Mr Ankur Gupta. "Hybrid Semantic Text Summarization." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 4772–81. http://dx.doi.org/10.22214/ijraset.2022.46070.

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Abstract: Automatic summarizing involves condensing a written material using a computer algorithm to provide a summary that keeps the key ideas from the original text. Finding a representative subset of the data that includes the details of the complete set is the basic goal of synthesis. There are two different sorts of summarising approaches: extractive and abstractive. Our system is interested in a mix of the two methods. To produce the extracted summary in our method, we have incorporated a variety of statistical and semantic variables. Emotions are significant in life since they reflect o

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XIAO, YI, FENG XIAO, and HAIBO XU. "PREDICTION OF SYMPTOMS PROGRESSION FOR THE PATIENTS WITH KNEE OSTEOARTHRITIS BASED ON THE QUANTITATIVE STRUCTURAL FEATURES: DATA FROM THE FNIH OA BIOMARKERS CONSORTIUM." Journal of Mechanics in Medicine and Biology 21, no. 05 (2021): 2140010. http://dx.doi.org/10.1142/s0219519421400108.

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Cartilage repair can greatly alleviate the symptoms of the patients with knee osteoarthritis (KOA). However, some imaging results suggest that the patients with obvious cartilage repair may receive insignificant or even no improvement in their symptoms. This study aims to explore the possible reasons based on the structural feature of the knee joint and construct the models used to predict the progression of knee joint symptoms. 551 subjects from Osteoarthritis Biomarkers Consortium FNIH Project in the Osteoarthritis Initiative (OAI) were included and divided into training and test sets. A tot

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Waelkens, Laurent. "Causa in D. 44,4,2,3." Tijdschrift voor Rechtsgeschiedenis / Revue d'Histoire du Droit / The Legal History Review 75, no. 2 (2007): 199–212. http://dx.doi.org/10.1163/157181907781352591.

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AbstractIn Roman law, D. 44,4,2,3 is the reference-text for stipulation without cause. Causality is a characteristic feature of early-modern legal thinking, but it may seem alien to a text from the 3rd century A.D. Would it therefore be possible to understand that text without reading into it the stipulation without cause? If one looks for a single meaning of causa in all the passages of the Digest where the phrase appears, the term seems to have a complex significance, including both a law-suit, litigation, a legal act and a legal fact. In that light, D. 44,4,2,3 takes on another dimension, a

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Yuan, Bin, Tao Jiang, and Hong Zhi Yu. "Emotional Classification Algorithm of Micro-Blog Text Based on the Combination of Emotional Characteristics." Advanced Materials Research 1077 (December 2014): 246–51. http://dx.doi.org/10.4028/www.scientific.net/amr.1077.246.

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Now micro-blog media is growing fast and micro-blog short text has also become a new type of information carrier. User’s sentiment orientation and emotion of the topic or event in a large number of user’s micro-blog, can not only provide decision-making basis in business but also provide support for government's public opinion monitoring. During micro-blog emotion classification, characteristic information is extracted directly influences the classification effect. This paper uses emotional sentences, emotional symbol, emotional word polarity and other emotional information as classification f

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Karjo, Clara Herlina, and Stephani Wijaya. "THE LANGUAGE FEATURES OF MALE AND FEMALE BEAUTY INFLUENCERS IN YOUTUBE VIDEOS." English Review: Journal of English Education 8, no. 2 (2020): 39. http://dx.doi.org/10.25134/erjee.v8i2.2593.

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Nowadays, the beauty community has a rapid growth of beauty influencers from both genders. The language style that is used on each gender has its own features and characteristics that can be explored from video sharing platform, YouTube. The aim of this study is to find the language features and distinctive characteristics of the male and female beauty influencers and the differences of comments from their audience. The writer applies qualitative research method by using text analysis of the video script. The data shows that male and female beauty influencers have shown differences in their fe

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ALESHCHANOVA, I. V., O. V. SERGEEVA, and M. R. ZHELTUKHINA. "TYPES AND FUNCTIONS OF QUOTATIONS IN THE ENGLISH-LANGUAGE DIGITAL MEDIA DISCOURSE." Bulletin of Chelyabinsk State University 496, no. 2 (2025): 46–53. https://doi.org/10.47475/1994-2796-2025-496-2-46-53.

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The paper considers general characteristics of English-language media texts that unite them into a system of media discourse, and specific features that distinguish digital versions from traditional text format. The article reflects results of studying the category of intertextuality, which is an important distinctive feature of media texts. For the study purpose, consideration of media texts is limited to the sphere of newspaper text as the most characteristic type of media texts in the Internet. Intertextual analysis is carried out using the example of direct quotation cases, which is one of

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Wang, Qin, Shou Ning Qu, Tao Du, and Ming Jing Zhang. "The Research and Application in Intelligent Document Retrieval Based on Text Quantification and Subject Mapping." Advanced Materials Research 605-607 (December 2012): 2561–68. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2561.

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Nowadays, document retrieval was an important way of academic exchange and achieving new knowledge. Choosing corresponding category of database and matching the input key words was the traditional document retrieval method. Using the method, a mass of documents would be got and it was hard for users to find the most relevant document. The paper put forward text quantification method. That was mining the features of each element in some document, which including word concept, weight value for position function, improved weights characteristic value, text distribution function weights value and

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Pandey, Binay Kumar, Digvijay Pandey, Subodh Wairya, and Gaurav Agarwal. "An Advanced Morphological Component Analysis, Steganography, and Deep Learning-Based System to Transmit Secure Textual Data." International Journal of Distributed Artificial Intelligence 13, no. 2 (2021): 40–62. http://dx.doi.org/10.4018/ijdai.2021070104.

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A potential to extract detailed textual image texture features is a key characteristic of the suggested approach, instead of using a single spatial texture feature. For the generation of MCs, four textured characteristics (including horizontal and vertical) are assumed in this paper that are content, coarseness, contrast, and directionality. The morphological parts of a clandestine text-based image were further segmented and then usually inserted into the least significant bit in cover pixels utilising spatial steganography. This same reverse process for steganography and MCA is conducted on t

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Wang, Xiaomin, Haoriqin Wang, Guocheng Zhao, Zhichao Liu, and Huarui Wu. "ALBERT over Match-LSTM Network for Intelligent Questions Classification in Chinese." Agronomy 11, no. 8 (2021): 1530. http://dx.doi.org/10.3390/agronomy11081530.

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This paper introduces a series of experiments with an ALBERT over match-LSTM network on the top of pre-trained word vectors, for accurate classification of intelligent question answering and thus the guarantee of precise information service. To improve the performance of data classification, a short text classification method based on an ALBERT and match-LSTM model was proposed to overcome the limitations of the classification process, such as few vocabularies, sparse features, large amount of data, lots of noise and poor normalization. In the model, Jieba word segmentation tools and agricultu

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Gryaznova, A. T. "Language markers of topos texts in A. I. Odoevsky’s poem "Where are you dashing ..." (to the 220th anniversary of the birth)." Russian language at school 84, no. 1 (2023): 51–59. http://dx.doi.org/10.30515/0131-6141-2023-84-1-51-59.

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The linguopoetic analysis of A. I. Odoevsky’s poem "Where are you dashing... " characterises the linguistic markers of the Caucasian and Siberian topos (locus amoenus/local) texts. To achieve this objective, the study employs comparative, intertextual, and cultural analysis based on a componential analysis of vocabulary. The article aims to study the means of verbalisation of the "Caucasian" and "Siberian" topos texts in A. I. Odoevsky’s poem "Where are you dashing…". Observation of the poetic text makes it possible to conclude that though it contains no toponymic markers indicating its belong

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Kaario, Ossi Tapani, Ville Vuorinen, Heikki Kahila, Hong G. Im, and Martti Larmi. "The effect of fuel on high velocity evaporating fuel sprays: Large-Eddy simulation of Spray A with various fuels." International Journal of Engine Research 21, no. 1 (2019): 26–42. http://dx.doi.org/10.1177/1468087419854235.

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Lagrangian particle tracking and Large-Eddy simulation were used to assess the effect of different fuels on spray characteristics. In such a two-way coupled modeling scenario, spray momentum accelerates the gaseous phase into an intense, multiphase jet near the nozzle. To assess fuel property effects on liquid spray formation, the non-reacting Engine Combustion Network Spray A baseline condition was chosen as the reference case. The validated Spray A case was modified by replacing n-dodecane with diesel, methanol, dimethyl ether, or propane assuming 150 MPa injection pressure. The model featur

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Zalewski, Cezary. "From “catharsis in the text” to “catharsis of the text”." Forum Philosophicum 25, no. 2 (2020): 323–39. http://dx.doi.org/10.35765/forphil.2020.2502.21.

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Roman Ingarden (1893–1970) was a prominent Polish philosopher, phenomenologist, and student of Edmund Husserl. A characteristic feature of his works was the almost complete absence of analyzes from the history of philosophy. That is why it is so surprising that right after the end of World War II, the first text analyzed when Ingarden started working at the Jagiellonian University was Aristotle’s “Poetics.” Ingarden published the results of his research in Polish in 1948 in “Kwartalnik Filozoficzny” and in the early 1960s his essay was translated and published in the renowned American magazine

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Chernysh, Oksana. "HYPERTEXTUALITY AS A DISTINCTIVE FEATURE OF MODERN ENGLISH DICTIONARY INTERNET DISCOURSE." Fìlologìčnì traktati 14, no. 1 (2022): 144–52. http://dx.doi.org/10.21272/ftrk.2022.14(1)-15.

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The scientific article deals with analyzing hypertextuality as a characteristic featureof the modern English dictionary Internet discourse. It highlights the prerequisites of hypertextuality and its importance in modern linguistics, in particular in the aspect of e-dictionary compilation. It determines the idea of the concept and outlines the approaches to its interpretation. Moreover, the research analysis theapproaches to define hypertext. In addition, it focuses on its distinctive characteristics. They include non-hierarchy, cohesive closedness, nonlinearity, potentiality, multimedia, multi

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Yue, Guo-dong, Zheng Xu, Liding Wang, Chong Liu, and Tongqun Ren. "WSN-Based Vibration Characteristic Research for Various Railway Track Structures for Pattern Classification." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 10 (2016): 1650020. http://dx.doi.org/10.1142/s0218001416500208.

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To effectively study vibration characteristics of tracks under different track structures, wavelet transforms of the vibration data are used for pattern classification of vibration feature. First, acceleration data of the track are collected with running speed of 150[Formula: see text]km/h at 26 positions respectively on a slab tangent track, ballast tangent track and ballast curve track by a wireless sensor network (WSN). Then they are analyzed using the power spectral densities (PSDs) and wavelet-based energy spectrum analysis. The paper elaborates on the reasons for the differences of vibra

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Pavlova, Polina Anatolyevna. "Dialogicity as a substantial feature of an enigmatic text (based on the material of the German language)." Philology. Theory & Practice 18, no. 4 (2025): 1423–31. https://doi.org/10.30853/phil20250203.

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The purpose of the study is to substantiate the fact that dialogicity is the essential basis of an enigmatic text, conditioned by its pragmatics and determining its structural and semantic construction. The article provides a theoretical proof of the need to consider any text as potentially dialogical. In the context of research on enigmatic texts, this approach seems constructive, since the dialogic form of implementation here has an ontological character. The scientific novelty of the research lies in the fact that it presents the development of issues related to the immanent dialogical natu

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Yu, Sheng, Katherine P. Liao, Stanley Y. Shaw, et al. "Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources." Journal of the American Medical Informatics Association 22, no. 5 (2015): 993–1000. http://dx.doi.org/10.1093/jamia/ocv034.

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Abstract Objective Analysis of narrative (text) data from electronic health records (EHRs) can improve population-scale phenotyping for clinical and genetic research. Currently, selection of text features for phenotyping algorithms is slow and laborious, requiring extensive and iterative involvement by domain experts. This paper introduces a method to develop phenotyping algorithms in an unbiased manner by automatically extracting and selecting informative features, which can be comparable to expert-curated ones in classification accuracy. Materials and methods Comprehensive medical concepts w

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Kozhakhmet, A. K., and G. O. Syzdykova. "The discoursive peculiarities of A. Baitursynuly’s scientific texts." Bulletin of the Karaganda university Philology series 110, no. 2 (2023): 97–103. http://dx.doi.org/10.31489/2023ph2/97-103.

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The article was written in order to determine the discursive features of scientific texts of A. Baitursynuly. The authors of the article analyzed “The report supporting the Arabic alphabet” of A. Baitursynuly (“Arab alipbiin jaktagan bayandamasy”) from a linguistic point of view. The conclusions of domestic and foreign scientists were used, such as A. Baitursynuly, A. Salkynbai, Sh. Kurmanbaiuly, D. Alkebayeva, A. Adilova, S. Rakitina, K. Kenjekanova. In the course of the study, the place of this work in written and oral speech was determined. Of the language units used by A. Baytursynuly, the

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Zhu, Dongdan, Yuting Zhang, and Zhengnan Lu. "Policy Evolution of Government Procurement of Public Services in China: A Text-Mining Perspective." Complexity 2023 (June 5, 2023): 1–15. http://dx.doi.org/10.1155/2023/3139117.

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The in-depth mining of policy text of Government Procurement of Public Services (GPPS) is helpful to distinguish stage characteristics and evolution logic of the policy. Through text-mining technology, the current research analyzes the policy text of GPPS from 1995 to 2021 in China. Firstly, the GPPS policy is divided into three stages according to the key policy nodes. Secondly, the TF-IDF algorithm is adopted to obtain keywords at each stage, and the static stage characteristics are summarized by constructing the complex network of the extracted keywords. Finally, the policy is clustered int

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Gu, Yanhong, Zhiwei Chen, Hao Chen, and Fudong Nian. "Quantitative Analysis of Steel Alloy Elements Based on LIBS and Deep Learning of Multi-Perspective Features." Electronics 12, no. 12 (2023): 2566. http://dx.doi.org/10.3390/electronics12122566.

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The Si and Mn contents in steel alloys are important characteristic indexes that influence the plasticity and welding properties of these alloys. In this work, the quantitative analysis methods for trace elements under complex alloy matrices by laser-induced breakdown spectroscopy (LIBS) are studied, which provide a foundation for utilizing LIBS technology in the rapid online detection of steel alloy properties. To improve the quantitative analysis accuracy of LIBS, deep learning algorithm methods are introduced. Given the characteristics of LIBS spectra, we explore multi-perspective feature e

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Dugalich, Natalia Mikhailovna. "French Medical Poster as a Genre of Medical Discourse." Litera, no. 11 (November 2024): 107–16. http://dx.doi.org/10.25136/2409-8698.2024.11.71277.

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A medical poster is a polycode text of medical discourse, the main purpose of which is to inform the participant in the medical discourse, first of all, the patient, about the existence, characteristic features, peculiarities of the course, solution and consequences of any medical problem. The object of the study is the polycode text of a French medical poster; the subject of the study is genre features of a medical poster in French, considered at the level of thematic diversity, repeating verbal and visual tools, and features of the use of paralinguistic means. The article is a fragment of a

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Dalhatu, Sirajo Muhammad, and Masrah Azrifah Azmi Murad. "A Model for Enhancing Pattern Recognition in Clinical Narrative Datasets through Text-Based Feature Selection and SHAP Technique." JOIV : International Journal on Informatics Visualization 8, no. 4 (2024): 2287. https://doi.org/10.62527/joiv.8.4.3664.

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Clinical narratives contain crucial patient information for predicting cardiac failure. Accurate and timely cardiac failure recognition (CFR) significantly impacts patient outcomes but faces challenges like limited dataset sizes, feature space sparsity, and underutilization of vital sign data. This study addresses these issues by developing a methodology to improve CFR accuracy and interpretability within clinical narratives. Four datasets—the Framingham Heart Study, Heart Disease from Kaggle, Cleveland Heart Disease, and Heart Failure Clinical Records—undergo preprocessing, including handling

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OH, SHU LIH, YUKI HAGIWARA, MUHAMMAD ADAM, et al. "SHOCKABLE VERSUS NONSHOCKABLE LIFE-THREATENING VENTRICULAR ARRHYTHMIAS USING DWT AND NONLINEAR FEATURES OF ECG SIGNALS." Journal of Mechanics in Medicine and Biology 17, no. 07 (2017): 1740004. http://dx.doi.org/10.1142/s0219519417400048.

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Shockable ventricular arrhythmias (VAs) such as ventricular tachycardia (VT) and ventricular fibrillation (VFib) are the life-threatening conditions requiring immediate attention. Cardiopulmonary resuscitation (CPR) and defibrillation are the significant immediate recommended treatments for these shockable arrhythmias to obtain the return of spontaneous circulation. However, accurate classification of these shockable VAs from nonshockable ones is the key step during defibrillation by automated external defibrillator (AED). Therefore, in this work, we have proposed a novel algorithm for an auto

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Lochbuehler, Kirsten, Melissa Mercincavage, Kathy Z. Tang, C. Dana Tomlin, Joseph N. Cappella, and Andrew A. Strasser. "Effect of message congruency on attention and recall in pictorial health warning labels." Tobacco Control 27, no. 3 (2017): 266–71. http://dx.doi.org/10.1136/tobaccocontrol-2016-053615.

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ObjectiveThe nine pictorial health warning labels (PWLs) proposed by the US Food and Drug Administration vary in format and feature of visual and textual information. Congruency is the degree to which visual and textual features reflect a common theme. This characteristic can affect attention and recall of label content. This study investigates the effect of congruency in PWLs on smoker’s attention and recall of label content.Methods120 daily smokers were randomly assigned to view either congruent or incongruent PWLs, while having their eye movements recorded. Participants were asked to recall

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Kauza, I., and A. Kardashuk. "CHARACTERISTICS OF LINGUISTIC EXPRESSIVE MEANS IN MATT HAIG'S WORK "HOW TO STOP TIME"." Sciences of Europe, no. 138 (April 10, 2024): 47–49. https://doi.org/10.5281/zenodo.10957326.

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At present, the issue of expressiveness and expression is quite relevant. Expression is a characteristic feature of linguistic units regardless of their usage domain. The concept of expression is considered in various aspects such as lexicological, sociolinguistic, linguistic, linguostylistic, psycholinguistic, etc. The expressiveness of the text indicates emotional processes (sensory tone, emotions, affects, moods) that constantly accompany any human activity. Emotional processes, in turn, are a person's experience of his own attitude towards objects and phenomena of objective reality. This i

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Barkovska, Olesia, Dmytro Mohylevskyi, Yuliia Ivanenko, and Dmytro Rosinskiy. "WAYS TO DETERMINE THE RANGE OF KEYWORDS IN A FREQUENCY DICTIONARY FOR TEXT CLASSIFICATION." Computer systems and information technologies, no. 1 (March 30, 2023): 14–20. http://dx.doi.org/10.31891/csit-2023-1-2.

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The paper is devoted to the actual problem of classifying textual documents of the collection by characteristic features, which is used for classifying news, reviews, determining the emotional tone of the text, as well as for forming catalogs of scientific, academic and research works. The paper proposes an approach for determining the significant words of a document for their further use as a feature vector in the classification process. In the course of the work, the author's keywords were identified, a partial dictionary was built, and the correlation between the author's keywords and the l

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Wang, Shuxia, Bin Fu, Hongzhi Liu, Zhengshen Jiang, Zhonghai Wu, and D. Frank Hsu. "Feature Engineering for Credit Risk Evaluation in Online P2P Lending." International Journal of Software Science and Computational Intelligence 9, no. 2 (2017): 1–13. http://dx.doi.org/10.4018/ijssci.2017040101.

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The rise of online P2P lending, as a novel economic lending model, brings new opportunities and challenges for the research of credit risk evaluation. This paper aims to mine information from different data sources to improve the performance of credit risk evaluation models. Be-sides the personal financial and demographic data used in traditional models, the authors collect in-formation from (1) text description, (2) social network and (3) macro-economic data. They de-sign methods to extract features from unstructured data. To avoid the curse of dimensionality caused by too many features and i

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Jac Fredo, Agastinose Ronickom, Thomas Raj Josena, Rajkumar Palaniappan, and Asaithambi Mythili. "CLASSIFICATION OF NORMAL AND KNEE JOINT DISORDER VIBROARTHROGRAPHIC SIGNALS USING MULTIFRACTALS AND SUPPORT VECTOR MACHINES." Biomedical Engineering: Applications, Basis and Communications 29, no. 03 (2017): 1750016. http://dx.doi.org/10.4015/s1016237217500168.

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The development of reliable Computer Aided Diagnosis (CAD) systems would help in the early detection of Knee Joint Disorder (KJD). In this work, normal and KJD vibroarthrographic (VAG) signals are classified using multifractals and Support Vector Machines (SVM). Multifractal dimension [Formula: see text] is calculated from the VAG signals for various [Formula: see text]-values ([Formula: see text]). Geometrical features are calculated from the multifractal spectrum. The dimension of the feature set is reduced using Principal Component Analysis (PCA). The significant features obtained from the

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Szmigiero, Katarzyna. "Reflexivity and New Metanarratives. Contemporary English-language Retellings of Classical Mythology." Discourses on Culture 20, no. 1 (2023): 85–108. http://dx.doi.org/10.2478/doc-2023-0012.

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Abstract The turn of the millennium has brought a revival of interest in the ancient Greek and Roman texts. Obviously, the legacy of antiquity is a permanent feature of Western literature and visual arts; yet, its contemporary manifestation has taken a novel form, that of a retelling. It is a new trend in which a well-known text belonging to the canon is given an unorthodox interpretation, which exposes the ethnic, class, and gender prejudices present in the original. Mythological retellings are often written in an accessible manner containing features of genre fiction, which makes the revised

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S, Meghana, Jagadeesh Sai D, and Dr Krishna Raj P. M. "Evaluation of Impact of Neural Networks in Text Classification." Journal of University of Shanghai for Science and Technology 23, no. 07 (2021): 1279–92. http://dx.doi.org/10.51201/jusst/21/07257.

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One of the most trending and major areas of research in Natural Language Processing (NLP) is the classification of text data. This necessarily means that the category that the text belongs to is determined by the content of the text. Various algorithms such as Recurrent Neural Network along with its variation which is Long Short-Term Memory, Hierarchical Attention Networks and also Convolutional Neural Network have been used to analyse how the context of the text can be determined from the text data which in available in terms of datasets. These algorithms each have a special characteristic of

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Selemeneva, Olga A. "Existential Sentences as a Characteristic Syntactic Feature of I. A. Bunin’s Poetic Texts." Izvestia of the Ural federal university. Series 2. Humanities and Arts 22, no. 4 (202) (2020): 256–72. http://dx.doi.org/10.15826/izv2.2020.22.4.075.

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In this article, existential sentences are examined as a syntactic dominant of I. A. Bunin’s lyrical poetry. The interest in the originality of the syntax of Nobel laureate’s literary texts is due to the lack of research on this issue, linguists’ focus on the aesthetic salience of the vocabulary, its expressive properties and combination potential, as well as stylistic figures and tropes. Meanwhile, it is the writer’s selection of specific syntactic structures for the implementation of the idea, the representation of key ideas and concepts that reflect his personality and the peculiarities of

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