Pioneering Studies and Theories Volume 1 Issue 4 (2025) · pp. 12-16

CLASSIFICATION OF TEXT DATA

Raxmanov, Asqar, Abduvaliyeva, Zebiniso

DOI: 10.5281/zenodo.15046299 Read at source PDF

Abstract

 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

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Cite

APA 7 
Raxmanov, Asqar & Abduvaliyeva, Zebiniso (2025). CLASSIFICATION OF TEXT DATA. Pioneering Studies and Theories, 1(4), 12-16. https://doi.org/10.5281/zenodo.15046299
GOST R 7.0.5 
Raxmanov, Asqar, Abduvaliyeva, Zebiniso CLASSIFICATION OF TEXT DATA // Pioneering Studies and Theories. 2025. Т. 1. № 4. С. 12-16. URL: https://doi.org/10.5281/zenodo.15046299
BibTeX 
@article{asqar2025,
  author  = {Raxmanov, Asqar and Abduvaliyeva, Zebiniso},
  title   = {CLASSIFICATION OF TEXT DATA},
  journal = {Pioneering Studies and Theories},
  year    = {2025},
  volume  = {1},
  number  = {4},
  pages   = {12-16},
  doi     = {10.5281/zenodo.15046299}
}
RIS 
TY  - JOUR
AU  - Raxmanov, Asqar
AU  - Abduvaliyeva, Zebiniso
TI  - CLASSIFICATION OF TEXT DATA
JO  - Pioneering Studies and Theories
PY  - 2025
VL  - 1
IS  - 4
SP  - 12
EP  - 16
DO  - 10.5281/zenodo.15046299
ER  -