CLASSIFICATION OF TEXT DATA
Ключевые слова:
Classification, vector, nearest neighbor method, Word2Vec, SVM, Apollon's sphere, BOW, TF-IDFАннотация
This article discusses the TF-IDF modeling method for converting given text data into a vector quantity for further classification. Using the TF-IDF modeling method, a cosine classifier for text data is obtained. This classifier can be used not only for classifying text data but also for classifying arbitrary vector data. The use of the obtained modeling and classification results with other methods allows determining the most effective classification method.
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Copyright (c) 2025 Raxmanov Asqar Тajibaevich, Abduvaliyeva Zebiniso Abdulxamidovna (Author)
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
