Pioneering Studies and Theories 1-jild 4-son (2025) · 12-16-betlar
CLASSIFICATION OF TEXT DATA
Raxmanov, Asqar, Abduvaliyeva, Zebiniso
DOI: 10.5281/zenodo.15046299 Manbada oʻqish PDF
Annotatsiya
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.
Classificationvectornearest neighbor methodWord2VecSVMApollon's sphereBOWTF-IDF
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.