Results 11 to 20 of about 59,770 (264)
Topic Detection Based on Sentence Embeddings and Agglomerative Clustering with Markov Moment
Future Internet, 2020 The paper is dedicated to solving the problem of optimal text classification in the area of automated detection of typology of texts. In conventional approaches to topicality-based text classification (including topic modeling), the number of clusters is
Svetlana S. Bodrunova +4 more
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Using IR Techniques to Improve Automated Text Classification [PDF]
, 2004 This paper performs a study on the pre-processing phase of the automated text classification problem. We use the linear Support Vector Machine paradigm applied to datasets written in the English and the European Portuguese languages – the Reuters and the Portuguese Attorney General’s Office datasets, respectively.
Gonçalves, Teresa, Quaresma, Paulo
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Theme of Khmer document classification in the field of agriculture based on the use of Naïve Bayes method with keywords [PDF]
E3S Web of ConferencesBy the empower of the technology and the Internet, there are huge amount of electronic text documents becoming available from day to day. Seeking information in the field of agriculture numerous collection is required well organized documentations that ...
Sovila Srun +5 more
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Annif Analyzer Shootout: Comparing text lemmatization methods for automated subject indexing
Code4Lib Journal, 2022 Automated text classification is an important function for many AI systems relevant to libraries, including automated subject indexing and classification.
Osma Suominen, Ilkka Koskenniemi
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Comparing automated text classification methods
International Journal of Research in Marketing, 2019 Abstract Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories.
Hartmann, Jochen +3 more
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Sketching a “low-cost” text-classification technique for text topics in English [PDF]
Ibérica, 2014 The aim of this paper is to sketch a potential methodology for automatic text classification which allows text topic discrimination as a prior step to new case assignment to previously established text topics.
Pascual Cantos Gómez
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TEXT CLASSIFICATION BASED ON FUZZY RADIAL BASIS FUNCTION
Iraqi Journal for Computers and Informatics, 2019 Automated classification of text into predefined categories has always been considered as a vital method in the natural language processing field. In this paper new methods based on Radial Basis Function (RBF) and Fuzzy Radial Basis Function (FRBF) are ...
Zuhair Ali
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Frontiers in Digital Health, 2021 Linking clinical narratives to standardized vocabularies and coding systems is a key component of unlocking the information in medical text for analysis.
Denis Newman-Griffis +2 more
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AutoWS: Automated Weak Supervision Framework for Text Classification
, 2023 Creating large, good quality labeled data has become one of the major bottlenecks for developing machine learning applications. Multiple techniques have been developed to either decrease the dependence of labeled data (zero/few-shot learning, weak supervision) or to improve the efficiency of labeling process (active learning).
Bohra, Abhinav +2 more
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Bag of Words and Embedding Text Representation Methods for Medical Article Classification
International Journal of Applied Mathematics and Computer Science, 2023 Text classification has become a standard component of automated systematic literature review (SLR) solutions, where articles are classified as relevant or irrelevant to a particular literature study topic.
Cichosz Paweł
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