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Journal articles on the topic 'Naive categorization of the world'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Gorbunova, Lyudmila I. "The perceptual basis of the naive categorization of the objective world." Vestnik Tomskogo gosudarstvennogo universiteta. Filologiya, no. 48 (August 1, 2017): 5–18. http://dx.doi.org/10.17223/19986645/48/1.

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Shafto, Patrick, and John D. Coley. "Development of categorization and reasoning in the natural world: Novices to experts, naive similarity to ecological knowledge." Journal of Experimental Psychology: Learning, Memory, and Cognition 29, no. 4 (2003): 641–49. http://dx.doi.org/10.1037/0278-7393.29.4.641.

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3

Rahamat, Basha S., and J. K. Rani. "A Comparative Approach of Dimensionality Reduction Techniques in Text Classification." Engineering, Technology & Applied Science Research 9, no. 6 (2019): 4974–79. https://doi.org/10.5281/zenodo.3566201.

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This work deals with document classification. It is a supervised learning method (it needs a labeled document set for training and a test set of documents to be classified). The procedure of document categorization includes a sequence of steps consisting of text preprocessing, feature extraction, and classification. In this work, a self-made data set was used to train the classifiers in every experiment. This work compares the accuracy, average precision, precision, and recall with or without combinations of some feature selection techniques and two classifiers (KNN and Naive Bayes). The resul

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Lim, Sung-joo, and Lori L. Holt. "Learning Foreign Sounds in an Alien World: Videogame Training Improves Non-Native Speech Categorization." Cognitive Science 35, no. 7 (2011): 1390–405. http://dx.doi.org/10.1111/j.1551-6709.2011.01192.x.

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Subramanian, Malliga, Veerappampalayam Easwaramoorty Sathishkumar, Kogilavani Shanmugavadivel, P. Deva, S. Haris, and Jaehyuk Cho. "Detecting homophobic and transphobic texts from youtube comments using machine learning models." Applied and Computational Engineering 6, no. 1 (2023): 919–28. http://dx.doi.org/10.54254/2755-2721/6/20230958.

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Today's world has witnessed an exponential rise in disseminating degrading and offensive content via social media. A global increase in violence against minorities, such as gun violence, murders, and forced displacement, has been connected to using harsh and derogatory language online. The policies enacted to prevent abusive or derogatory language risk stifling free speech and are applied differently. These languages can affect the mental state of social media users. Homophobic and transphobic expressions are a insulting people's sexuality or character among harsh and disrespectful remarks. To

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Turko, Uliana Igorevna. "Metaphorization as a way to comprehend reality." Филология: научные исследования, no. 4 (April 2020): 40–47. http://dx.doi.org/10.7256/2454-0749.2020.4.30606.

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The object of this research is the metaphorical component of text, which allows understanding more profound meanings of information code and determine attitudes of the addressee. The subject of this research is the conceptual metaphors that manifests as the means of categorization, comprehension of the surrounding world, access to mental processes and mechanisms. Establishing associative links between the phenomena of cognizable world, metaphors represent the understanding of reality by an individual and form new knowledge on the world. The text of the article by M. Kiseleva &ldquo;Who ben

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Boutonnet, Bastien, Benjamin Dering, Nestor Viñas-Guasch, and Guillaume Thierry. "Seeing Objects through the Language Glass." Journal of Cognitive Neuroscience 25, no. 10 (2013): 1702–10. http://dx.doi.org/10.1162/jocn_a_00415.

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Recent streams of research support the Whorfian hypothesis according to which language affects one's perception of the world. However, studies of object categorization in different languages have heavily relied on behavioral measures that are fuzzy and inconsistent. Here, we provide the first electrophysiological evidence for unconscious effects of language terminology on object perception. Whereas English has two words for cup and mug, Spanish labels those two objects with the word “taza.” We tested native speakers of Spanish and English in an object detection task using a visual oddball para

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Cebrian, Juli, and Joan C. Mora. "Online Assessment of Cross-Linguistic Similarity as a Measure of L2 Perceptual Categorization Accuracy." Languages 9, no. 5 (2024): 152. http://dx.doi.org/10.3390/languages9050152.

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The effect of cross-linguistic similarity on the development of target-like categories in a second or additional language is widely attested. Research also shows that second-language speakers may access both their native and the second-language lexicons when processing second-language speech. Forty-three Catalan learners of English performed a perceptual assimilation task evaluating the perceived similarity between English and Catalan vowels and also participated in a visual world eye-tracking experiment investigating between-language lexical competition. The focus of the study was the English

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Tian, Yuxuan, Desheng Xue, Chen Liu, and Yubin Ou. "Internal and External Collaborative Shaping: The Role of Official Information and Online Communities in Shaping a City’s Image." Land 13, no. 12 (2024): 2010. http://dx.doi.org/10.3390/land13122010.

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City image is essential for city marketing, yet the impact of “outside–in” shaping by social media in the Web 2.0 era has been largely overlooked. The decentralized and diverse Web 2.0 environment now dominates online information dissemination, influencing not just cyberspace, but also the physical urban landscape. These externally driven city images increasingly reflect and interact with traditional “inside–out” images shaped by official sources. Understanding the influence of external actors via social media compared to traditional internal sources, like government websites, is crucial. This

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MACÊDO, Ana Cristina Pelosi Silva de. "Similarities and differences in categorization behavior by Brazilian Portuguese and American English native speakers." DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada 14, no. 2 (1998): 467–81. http://dx.doi.org/10.1590/s0102-44501998000200009.

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The present paper presents a brief account of the nature and formation of categories. It also reports on some of the findings obtained by investigating the way native speakers of Brazilian Portuguese and American English organize their semantic categories. Eleven semantic categories taken from the Battig and Montague (1969) category response norms were used in the study. The way the Brazilians and the Americans behave, in ranking the various category members is statistically analyzed by assessing levels of agreement within and between groups. The results of the analysis indicate that, although

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Mouhoub, Malek, and Mustakim Al Helal. "Topic Modelling in Bangla Language: An LDA Approach to Optimize Topics and News Classification." Computer and Information Science 11, no. 4 (2018): 77. http://dx.doi.org/10.5539/cis.v11n4p77.

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Topic modeling is a powerful technique for unsupervised analysis of large document collections. Topic models have a wide range of applications including tag recommendation, text categorization, keyword extraction and similarity search in the text mining, information retrieval and statistical language modeling. The research on topic modeling is gaining popularity day by day. There are various efficient topic modeling techniques available for the English language as it is one of the most spoken languages in the whole world but not for the other spoken languages. Bangla being the seventh most spo

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Kuznetsova, E. V., and T. G. Bortnikova. "Some semantic and etymological characteristics of English verbs describing sensual and emotional activity of a person." Neophilology 11, no. 2 (2025): 242–48. https://doi.org/10.20310/2587-6953-2025-11-2-242-248.

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INTRODUCTION. The study discusses some semantic and etymological characteristics of English verbs describing the sensuous-emotional activity of a person. The way people interpret their emotions depends on the “lexical grid of coordinates” given to them by their native language. And in this vein, the linguistic picture of the world appears as knowledge fixed in the content of linguistic forms, as a kind of system of belonging to the world and a form of its categorization. The need to correlate the prototypical approach in categorization with the conceptualization of historical models [etymologi

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О., М. Стаценко. "НОМІНАЦІЇ ЇЖІ, ТЕПЛА, БЕЗПЕКИ В КОНТЕКСТІ НАЇВНОЇ КАТЕГОРИЗАЦІЇ СВІТУ". Лінгвістичні дослідження: Зб. наук. праць ХНПУ ім. Г.С. Сковороди, № 46 (14 листопада 2017): 22–26. https://doi.org/10.5281/zenodo.1048590.

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<em>The article is devoted to the cognitive analysis of the food, heat and safety nominations, represented by folk tales and paroemian texts of Ukrainians and Russians. The main representatives of the aforementioned nominations, such as “furnace” and “porridge” are considered. The ancient man mentality is based on the collective representations, under the influence of which the environment, all household items, made by man, is always an embodiment of the set of mystical properties. The concept of magical and mystical participation, the combination of bricolage techniques and mythological think

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Masorong, Sharifa Khalid. "The Jumbled Languages: Code Mixing in the Modern World." Journal of World Englishes and Educational Practices 3, no. 2 (2021): 77–84. http://dx.doi.org/10.32996/jweep.2021.3.2.7.

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Globalization has changed the original meaning of language and culture. These two terms have transcended as the world gets crazy over new inventions and gadgets. Although historically speaking, technology has been used years earlier, the society has not noticed it until in the recent years when technology has an obvious impact to the society. Communication in the modern world has become so innovative that many use media to express and reveal their cultural identity as well. One of the aims of this study was to investigate how Meranaws use the social media as a way of expressing themselves usin

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Rahman, Mohamad Izzuddin, Noor Azah Samsudin, Aida Mustapha, and Adeleke Abdullahi. "Comparative Analysis for Topic Classification in Juz Al-Baqarah." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 406. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp406-411.

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<p>In Islam, Quran is the holy book that was revealed to the Prophet Muhammad. It functions as complete code of life for the Muslims. Remarks from Allah which contains more than 77,000 words that was passed down through Prophet Muhammad to the mankind for 23 years started in 610 ce. The Quran was divided into 114 chapters. Arabic language is the original text. The need for the Muslims across the world to find the meaning to understand the content in the Quran is necessary. Nevertheless, understanding the Quran is an interest for the Muslims as well as the attention of millions of people

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16

Choudhary, Sarswati, and Silky Pareyani. "Analytical Study of Face Recognition Methods Using Machine Learning." Journal of Electronic Design Engineering 9, no. 3 (2023): 14–21. http://dx.doi.org/10.46610/joede.2023.v09i03.003.

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Many facial recognition algorithms, as well as their adaptations, have previously been devised during the last decades. A number is indicated for standard algorithms. They are divided into two categories: appearance-based and model-based. Three distinct linear subspace analysis strategies for appearance-based processes are presented, along with a brief examination of numerous non-linear manifold analysis approaches for face recognition. Elastic Bunch Graph matching, Active Appearance Model, and 3D Model processes are discussed. A vast variety of publicly available face datasets and performance

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Mohamad, Izzuddin Rahman, Azah Samsudin Noor, Mustapha Aida, and Abdullahi Adeleke. "Comparative Analysis for Topic Classification in Juz Al-Baqarah." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 406–11. https://doi.org/10.11591/ijeecs.v12.i1.pp406-411.

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In Islam, Quran is the holy book that was revealed to the Prophet Muhammad. It functions as complete code of life for the Muslims. Remarks from Allah which contains more than 77,000 words that was passed down through Prophet Muhammad to the mankind for 23 years started in 610 ce. The Quran was divided into 114 chapters. Arabic language is the original text. The need for the Muslims across the world to find the meaning to understand the content in the Quran is necessary. Nevertheless, understanding the Quran is an interest for the Muslims as well as the attention of millions of people from the

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18

Lili, Xu, and Zhu Jinxuan. "Conceptualization and Categorization of the Event ‘damage’ in the Russian Language: Frame Modeling of the Lexico-Semantic Group of Verbs." Вестник Пермского университета. Российская и зарубежная филология 16, no. 3 (2024): 91–99. http://dx.doi.org/10.17072/2073-6681-2024-3-91-99.

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In the article, verbs are considered not just as a designation of an action or state of an object, but as the main means of verbalization and objectification of the conceptual content and categorical structure of events that exist in the minds of native speakers. By means of a systemic analysis of the lexico-semantic group of verbs, the peculiarities of conceptualization and categorization of the event ‘damage’ in the lexical system of the Russian language are identified. Through the classification of semantic components of verbs of damage, the frame structure of the linguistic representation

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19

SKENDERI, Lindita, and Suzana EJUPI. "IDIOMS IN BUSINESS ENGLISH TEXTBOOKS: THE CASE OF MARKET LEADER AND BUSINESS RESULT." International Journal of Human Sciences - Filologjia 12, no. 22-23 (2024): 176–81. http://dx.doi.org/10.62792/ut.filologjia.v12.i22-23.p2514.

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Idioms represent an important part of effective communication between native speakers, but they are quite necessary among non-native speakers too. Their crucial role in making communication flow easily makes them attractive and important to be studied. Their use in not very common among non-native speakers, because they are usually taught at higher levels, such as C1 and above. This paper is a systematic analysis of idioms representation in Business English textbooks used in higher education, both Market Leader and Business Result. The focus is in identifying their presence in these textbooks,

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20

Абдукадырова, Т. Т. "Особенности формирования языковой картины мира в функциональном поле когнитивных процессов". Management of Education 14, № 12-1 (2024): 143–51. https://doi.org/10.25726/a6487-5606-2163-q.

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Статья посвящена исследованию когнитивных механизмов человеческого сознания в контексте языковой картины мира. Актуальность темы обусловлена возрастающим интересом современной науки к проблемам взаимосвязи языка, мышления и культуры. Цель работы состоит в выявлении особенностей функционирования когнитивных процессов, лежащих в основе формирования языковой картины мира. В задачи входит анализ роли языка в структурировании и репрезентации знаний, изучение механизмов категоризации и концептуализации действительности, рассмотрение культурной обусловленности языкового сознания. Методологическую баз

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Zhang, Tietao, Hu Li, Peter Foged Larsen, et al. "The Genetic Diversity of Mink (Neovison vison) Populations in China." Animals 13, no. 9 (2023): 1497. http://dx.doi.org/10.3390/ani13091497.

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The American mink (Neovison vison) is a semiaquatic species of Mustelid native to North America that is now widespread in China. However, the knowledge of genetic diversity of mink in China is still limited. In this study, we investigated the genetic diversity and identified significant single nucleotide polymorphisms (SNPs) in mink populations of five different color types in three different mink farms in China. Using double-digest restriction site-associated DNA sequencing, we identified a total of 1.3 million SNPs. After filtering the SNPs, phylogenetic tree, Fst, principal component, and p

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22

Mackert, Michael. "The roots of franz boas’ view of linguistic categories as a window to the human mind." Historiographia Linguistica 20, no. 2-3 (1993): 331–51. http://dx.doi.org/10.1075/hl.20.2-3.05mac.

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Summary Historiographers of linguistics have frequently pointed out the presence of the Humboldtian term ‘inner form’ in Franz Boas’ (1858–1942) work on linguistic categorization and have suggested a link to Heymann Steinthal’s (1823–1899) Völkerpsychologie and psycholinguistics. This essay demonstrates, however, that Boas’ discourse on the inner form of language, grammatical categories, and the human mind did not develop in a unilinear fashion from the work of Steinthal. Although Boas adhered to a Steinthalian notion of inner form of language and linguistic relativism and his research on Nati

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Semashko, T. "ON THE QUESTION OF THE TRUTH/FALSENESS OF SOCIAL STEREOTYPES THROUGH THE PRISM OF THE INDIVIDUAL AND SOCIETY." Mìžnarodnij fìlologìčnij časopis 14, no. 1 (2023): 25–33. http://dx.doi.org/10.31548/philolog14(1).2023.03.

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The relevance of the research topic is determined by the general need to study language facts in the linguistic-cognitive plane, where special attention is paid to stereotypes – stable, emotionally colored representations within any community, formed in the cognitive consciousness of native speakers on the basis of hidden social meanings, which in their totality constitute the worldview of an individual. The goal of intelligence is to identify and describe the processes and results of stereotyping as a positive/negative phenomenon. The research methodology is based on the basic principles of a

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Dantas, Janeide Alexandre, Veridiana Vizoni Scudeller, and Samara Moreira Barbosa. "Native Bees As A Tool For Eco-Literacy in A Public School in Manaus – Amazonas." Revista de Gestão Social e Ambiental 19, no. 6 (2025): e12618. https://doi.org/10.24857/rgsa.v19n6-070.

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Objective: To explore how the integration of native Amazonian bees with the Eco-Literacy Methodology will improve the educational process of 3rd grade students at a public school in Manaus. The proposal seeks to create activities of an interdisciplinary nature that combine environmental knowledge and formal education. This facilitates the goal of promoting ecological knowledge and cognitive skills simultaneously Theoretical Framework: Derived from Eco-literacy, proposed by Fritjof Capra and David Orr, this doctrine advocates combining formal education with ecological principles to promote a co

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Khan, Shair Ali. "The English Translations of Panini’s Ashtadhyayi: A translational textual analysis." Traduction et Langues 20, no. 1 (2021): 25–37. http://dx.doi.org/10.52919/translang.v20i1.302.

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The study aims to find out the reader-centred & author-centred translation of Ashtadhyayi of Panini, an Indian linguist of 5th century BC, who compiled the world oldest, shortest and ever first linguistic book in Sanskrit language focusing on all linguistic aspects, aiming at protecting the sounds of Vedas; the holy book of Hinduism. The linguistic importance of Sanskrit was firstly mentioned by William Jones during his famous address in India, whereas the linguistic phenomena were discussed by Ferdinand de Saussure in nineteenth century. The book is first translated into English in 1891by

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Doan, Son, and Susumu Horiguchi. "Improving Text Categorization by Multicriteria Feature Selection." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 5 (2005): 570–75. http://dx.doi.org/10.20965/jaciii.2005.p0570.

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Text categorization involves assigning a natural language document to one or more predefined classes. One of the most interesting issues is feature selection. We propose an approach using multicriteria ranking of eatures, a new procedure for feature selection, and apply these to text categorization. Experimental results dealing with Reuters-21578 and 20Newsgroups benchmark data and the naive Bayes algorithm show that our proposal outperforms conventional feature selection in text categorization performance.

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Didkovskaya, M. V., and A. Yu Gogolev. "Comparative analysis of clustering algorithms." Electronics and Communications 15, no. 4 (2010): 207–11. https://doi.org/10.20535/2312-1807.2010.15.4.301785.

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The mathematical formulation of the problem of goods’ categorization is represented, the following stages of its decision are pointed out: indexing, classification and evaluation. Experimental study of classifiers (naive Bayes classifier, SVM method and decision tree) has shown that SVM method is the most effective to solve the problem of categorization.

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Maremukova, E. V. "Structural and semantic features of ethno-stereotyping of space-time relations in different linguistic cultures." Proceedings of the Southwest State University. Series: Linguistics and Pedagogy 14, no. 2 (2024): 42–52. http://dx.doi.org/10.21869/2223-151x-2024-14-2-42-52.

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Purpose of research. The article is aimed at determining the features of the linguistic fixation of space-time relations in languages with different structures, identifying unique characteristics that form an integral part of the culture of the people, the specifics of the national mentality represented in the language. Based on the material of differently structured Kabardian-Circassian, Russian and English languages terms of space and time are analyzed in a comparative aspect.Methods. The use of a complex of general scientific and linguistic methods, including methods of comparative, lexical

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Charu, C. A., and Vairavel C. "Spend Sync." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 2 (2024): 5. https://doi.org/10.5281/zenodo.10785555.

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SpendSync, a financial game-changer, leverages cloud technology to liberate users from tedious manual data entry. Its sleek interface effortlessly captures transaction specifics, ensuring real-time financial insights. At its core, SpendSync employs the "Naive Bayes" classifier to autonomously categorize expenses, marking a seismic shift from laborious data input. It's intelligent algorithms continuously learn from user interactions, refining its categorization accuracy. Its intuitive design streamlines financial management, enhancing user control and fostering proactive financial decisions. In

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Ocaña-Fernández, Dr Yolvi J., Dr Walter Gómez-Gonzales, Dr Luis Alex Valenzuela Fernández, et al. "A Novel Approach to Predict the Early Childhood Special Education Learning Skills of Autistic Children Using Ensemble Machine Learning." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 14, no. 2 (2023): 59–65. http://dx.doi.org/10.58346/jowua.2023.i2.005.

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Children with autism spectrum disorder will eventually receive more extensive educational experiences, diverse understanding styles, any distinctive instructional techniques to help all infants achieve. Data mining categorization algorithms in the Weka tool are used to anticipate and forecast infants' performance with Autism Spectrum Disorder (ASD). As a decision-making tool for improving the performance of autistic youngsters, data mining is widely acknowledged. Support Vector Machines (SVMs), Logistic Regression (LR), and Naive Bayes (NB) are some of the techniques that can be used for categ

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Tang, Bo, Steven Kay, and Haibo He. "Toward Optimal Feature Selection in Naive Bayes for Text Categorization." IEEE Transactions on Knowledge and Data Engineering 28, no. 9 (2016): 2508–21. http://dx.doi.org/10.1109/tkde.2016.2563436.

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Ren, Jian Si. "Research and Implementation of Text Classification Algorithm." Applied Mechanics and Materials 644-650 (September 2014): 2395–98. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2395.

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The development of Internet and digital library has triggered a lot of text categorization methods. How to find desired information accurately and timely is becoming more and more important and automatic text categorization can help us achieve this goal. In general, text classifier is implemented by using some traditional classification methods such as Naive-Bayes (NB). ARC-BC (Associative Rule-based Classifier by Category) can be used for text categorization by dividing text documents into subsets in which all documents belong to the same category and generate associative classification rules

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Firdaus, Ahmad. "Reputation Scoring Fake News Using Text Mining." ACMIT Proceedings 4, no. 1 (2017): 12–17. http://dx.doi.org/10.33555/acmit.v4i1.52.

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The classification of hoax news or news with incorrect information is one of the text categorization applications.Like text-based categorization of machine applications in general, this system consists of pre-processing andexecution of classification models. In this study, experiments were conducted to select the best technique in each sub-process by using 1200 articles hoax and 600 articles no hoax collected manually. This research Triedexperimenting to determine the best preprocessing stages between stop removals and stemming and showing the results of the deception Tree algorithm achieving

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Rawat, Romil, Bhagwati Garg, Kiran Pachlasiya, et al. "SCNTA." International Journal of Information Technology and Web Engineering 17, no. 1 (2022): 1–19. http://dx.doi.org/10.4018/ijitwe.297971.

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Real-time network inspection applications face a threat of vulnerability as high-speed networks continue to expand. For companies and ISPs, real-time traffic classification is an issue. The classifier monitor is made up of three modules: Capturing_of_Packets (CoP) and pre-processing, Reconciliation_of_Flow (RoF), and categorization of Machine Learning (ML). Based on parallel processing along with well-defined interfacing of data, the modules are framed, allowing each module to be modified and upgraded separately. The Reconciliation_of_Flow (RoF) mechanism becomes the output bottleneck in this

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Hasan, Mohammed, and Asmaa Ali. "Implementing A Naïve Bayes Classifier on Iris Data Using MATLAB, A Classification Method by Using Grid Parameters Optimization." Wasit Journal for Pure sciences 3, no. 4 (2024): 51–58. https://doi.org/10.31185/wjps.516.

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Data mining categorization is crucial for predicting outcomes. Naive Bayes Classification (NBC) is a prominent approach used in data mining for classification purposes. It has the ability to anticipate outcomes and is generally more efficient than other techniques of categorization. Several Naive Bayes classification methods exhibit subpar performance when used to classification and regression issues. One of the factors contributing to the success of NBC is the reliance on assumptions of independence among predictors and the initial hyperparameters. Nevertheless, this robust assumption results

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Nurrani, Hanny, Andi Kurniawan Nugroho, Sri Heranurweni, Eko Supriyanto, and Generousdi -. "VEGETABLE TYPE CLASSIFICATION USING NAIVE BAYES ALGORITHM BASED ON IMAGE PROCESSING." JAICT 7, no. 2 (2022): 102. http://dx.doi.org/10.32497/jaict.v7i2.3762.

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There are so many different varieties of vegetables in Indonesia that the sorting procedure presents difficulties. In an effort to expedite the introduction of smart farming in Indonesia, more agricultural assistance techniques will be created. Utilizing the Naive Bayes algorithm is one way that may be used to advance agriculture in Indonesia. Image processing consists of converting RGB images to grayscale images, segmenting images using the thresholding method, collecting image features based on the HSV average value and object area, and classifying pictures using the Naive Bayes algorithm. T

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Tran Ngoc, Anaïs, Fanny Meunier, and Julien Meyer. "Testing perceptual flexibility in speech through the categorization of whistled Spanish consonants by French speakers." JASA Express Letters 2, no. 9 (2022): 095201. http://dx.doi.org/10.1121/10.0013900.

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Whistled speech is a form of modified speech where, in non-tonal languages, vowels and consonants are augmented and transposed to whistled frequencies, simplifying their timbre. According to previous studies, these transformations maintain some level of vowel recognition for naive listeners. Here, in a behavioral experiment, naive listeners' capacities for the categorization of four whistled consonants (/p/, /k/, /t/, and /s/) were analyzed. Results show patterns of correct responses and confusions that provide new insights into whistled speech perception, highlighting the importance of freque

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Rahamat Basha, S., and J. K. Rani. "A Comparative Approach of Dimensionality Reduction Techniques in Text Classification." Engineering, Technology & Applied Science Research 9, no. 6 (2019): 4974–79. http://dx.doi.org/10.48084/etasr.3146.

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This work deals with document classification. It is a supervised learning method (it needs a labeled document set for training and a test set of documents to be classified). The procedure of document categorization includes a sequence of steps consisting of text preprocessing, feature extraction, and classification. In this work, a self-made data set was used to train the classifiers in every experiment. This work compares the accuracy, average precision, precision, and recall with or without combinations of some feature selection techniques and two classifiers (KNN and Naive Bayes). The resul

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Mohamed Cherradi and Hajar El Mahajer. "Malicious URL detection using machine learning techniques." International Journal of Data Informatics and Intelligent Computing 4, no. 2 (2025): 41–52. https://doi.org/10.59461/ijdiic.v4i2.187.

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With numerous new websites being created every day, it's getting increasingly challenging to tell which ones are safe and which could be dangerous. These websites frequently gather sensitive user data that may be hacked in the absence of proper cybersecurity safeguards, such as the effective identification and categorization of dangerous URLs. In order to improve cybersecurity, this study attempts to create models based on machine learning algorithms for the effective detection and categorization of harmful URLs. In this regard, our proposal uses decision trees, logistic regression, support ve

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Wittenbrink, Bernd, James L. Hilton, and Pamela L. Gist. "In Search of Similarity: Stereotypes as Naive Theories in Social Categorization." Social Cognition 16, no. 1 (1998): 31–55. http://dx.doi.org/10.1521/soco.1998.16.1.31.

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Mohammed, Ali Sura I., Marwah Nihad, Sharaf Hussien Mohamed, and Haitham Farouk. "Machine learning for text document classification-efficient classification approach." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 1 (2024): 703–10. https://doi.org/10.11591/ijai.v13.i1.pp703-710.

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Numerous alternative methods for text classification have been created because of the increase in the amount of online text information available. The cosine similarity classifier is the most extensively utilized simple and efficient approach. It improves text classification performance. It is combined with estimated values provided by conventional classifiers such as Multinomial Naive Bayesian (MNB). Consequently, combining the similarity between a test document and a category with the estimated value for the category enhances the performance of the classifier. This approach provides a text d

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Kamal, Aulia. "Konseptualisasi Agama dan Implikasinya di Indonesia." Substantia: Jurnal Ilmu-Ilmu Ushuluddin 25, no. 1 (2023): 1. http://dx.doi.org/10.22373/substantia.v25i1.16944.

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This article discusses how the concept of "religion" is conceptualized in Indonesia and its implications. Through literature review, data was collected and analyzed descriptively, and it was found that: First, the term "religion" is conceptually constructed academically based on the World Religion Paradigm (WRP) with Islam as the model and monotheism as the main feature. Politically, the WRP is increasingly hegemonic through Pancasila, and is constructed in accordance with the policy of religious life from the colonial era to the orde New Order (Orde Baru). Thus, the definition and categorizat

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Naderalvojoud, Behzad, and Ebru Akcapinar Sezer. "Term evaluation metrics in imbalanced text categorization." Natural Language Engineering 26, no. 1 (2019): 31–47. http://dx.doi.org/10.1017/s1351324919000317.

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AbstractThis paper proposes four novel term evaluation metrics to represent documents in the text categorization where class distribution is imbalanced. These metrics are achieved from the revision of the four common term evaluation metrics: chi-square, information gain, odds ratio, and relevance frequency. While the common metrics require a balanced class distribution, our proposed metrics evaluate the document terms under an imbalanced distribution. They calculate the degree of relatedness of terms with respect to minor and major classes by considering their imbalanced distribution. Using th

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Catal, Cagatay, Serkan Tugul, and Basar Akpinar. "Automatic Software Categorization Using Ensemble Methods and Bytecode Analysis." International Journal of Software Engineering and Knowledge Engineering 27, no. 07 (2017): 1129–44. http://dx.doi.org/10.1142/s0218194017500425.

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Software repositories consist of thousands of applications and the manual categorization of these applications into domain categories is very expensive and time-consuming. In this study, we investigate the use of an ensemble of classifiers approach to solve the automatic software categorization problem when the source code is not available. Therefore, we used three data sets (package level/class level/method level) that belong to 745 closed-source Java applications from the Sharejar repository. We applied the Vote algorithm, AdaBoost, and Bagging ensemble methods and the base classifiers were

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Prof. Dipti A. Mirkute, Prasad D. Banarase, and Geeta K. Rathod. "Online Writeup Categorization using a Machine Learning Strategy." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 5 (2024): 242–47. http://dx.doi.org/10.32628/ijsrset24115118.

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A variety of online sources produces a huge amount of daily news; thus, it is important to categorize the news items to make the information accessible to consumers easily and quickly scraping is used to gather existing news items from news websites and then categorize them automatically using a variety of classification algorithms. As a result, news categorization is a technique for discovering untracked news themes and providing specific recommendations based on the user's historical interests. The BBC News dataset, which includes articles from five different categories including Business, E

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Mohammed Ali, Sura I., Marwah Nihad, Hussien Mohamed Sharaf, and Haitham Farouk. "Machine learning for text document classification-efficient classification approach." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 1 (2024): 703. http://dx.doi.org/10.11591/ijai.v13.i1.pp703-710.

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<p>Numerous alternative methods for text classification have been created because of the increase in the amount of online text information available. The cosine similarity classifier is the most extensively utilized simple and efficient approach. It improves text classification performance. It is combined with estimated values provided by conventional classifiers such as Multinomial Naive Bayesian (MNB). Consequently, combining the similarity between a test document and a category with the estimated value for the category enhances the performance of the classifier. This approach provides

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Pandyak, Igor. "Categorization of business subjects: modern approaches and trends in the world and in Ukraine." Visnyk of the Lviv University. Series Geography 53 (December 18, 2019): 269–76. http://dx.doi.org/10.30970/vgg.2019.53.10676.

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The study focuses on the relevance of categorization in the management of the quality of service of hotel enterprises. The main approaches to categorization of hotel business actors in the world and in Ukraine have been analyzed, attention has been paid to the need to define key concepts in the management of the quality of the placement service, the issues of standards and the current categorization process in Ukraine, the direction of their solution has been substantiated. The spatial organization of categorized hotel enterprises in Ukraine was analyzed, and the dependence of the share with t

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Basuki, Ari. "Sentiment Analysis of Customers’ Review on Delivery Service Provider on Twitter Using Naive Bayes Classification." Jurnal Ilmiah Teknik Elektro Komputer dan Informatika 9, no. 2 (2023): 420–28. https://doi.org/10.26555/jiteki.v9i2.26327.

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Customer evaluations on social media may help us remain competitive and comprehend our business's target market. By analysing consumer evaluations, a business owner can identify common themes, pain points, and desired features or enhancements. By analysing customer feedback across multiple channels, such as social media, online reviews, and customer service interactions, businesses can rapidly identify any negative sentiment or potential brand damage. The contribution of our study is to evaluate the performance of the Naive Bayes method for classifying customer feedback on courier delivery ser

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AL-TAHRAWI, MAYY M., and RAED ABU ZITAR. "POLYNOMIAL NETWORKS VERSUS OTHER TECHNIQUES IN TEXT CATEGORIZATION." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 02 (2008): 295–322. http://dx.doi.org/10.1142/s0218001408006247.

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Many techniques and algorithms for automatic text categorization had been devised and proposed in the literature. However, there is still much space for researchers in this area to improve existing algorithms or come up with new techniques for text categorization (TC). Polynomial Networks (PNs) were never used before in TC. This can be attributed to the huge datasets used in TC, as well as the technique itself which has high computational demands. In this paper, we investigate and propose using PNs in TC. The proposed PN classifier has achieved a competitive classification performance in our e

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Dobrova, Victoria, Alexander Zhuravlev, Irina Sysueva, Svetlana Menshenina, and Elchin Gashimov. "On Some Issues of Conceptualization and Categorization by Means of Natural Language." SHS Web of Conferences 50 (2018): 01043. http://dx.doi.org/10.1051/shsconf/20185001043.

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This paper deals with a number of problems that occur most frequently in the course of scientific research during the process of conceptualization and categorization of the world around us by means of natural language. The main subject is to consider the origins of certain issues and difficulties concerning the process of conceptualization and categorization, as well as to explain their nature or, at least, work out some speculations. The methodology of the research is analysis of the most common problems that occur in the process of conceptualization and categorization of the world by means o

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