CLASSIFICATION OF TEXT DATA

Asqar Raxmanov; Zebiniso Abduvaliyeva

Mualliflar

Asqar Raxmanov ##default.groups.name.author##
Zebiniso Abduvaliyeva ##default.groups.name.author##

{$ Etel}:

Classification, vector, nearest neighbor method, Word2Vec, SVM, Apollon's sphere, BOW, TF-IDF

Abstrak

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.

Mualliflarning tarjimai hollari

Asqar Raxmanov

Associate professor at Tashkent University of Information Technologies
Zebiniso Abduvaliyeva

Assistant at Tashkent University of Information Technologies

Bibliografik havolalar

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