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Topic Modeling Using SVD and NMF

EasyChair Preprint no. 11004

8 pagesDate: October 2, 2023


The goal of topic modeling in the field of natural language processing (NLP) is to extract abstractly considered topics from a set of documents. Topic modeling uses a text corpus to identify abstract topics in a text from multiple documents. This article discusses thematic modeling of texts in a language corpus using SVD and NMF methods.

Keyphrases: hujjat-atama, NLP, NMF, SVD, Tematik modellashtirish

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Botir Elov and Narzillo Aloyev and Aziz Yuldashev},
  title = {Topic Modeling Using SVD and NMF},
  howpublished = {EasyChair Preprint no. 11004},

  year = {EasyChair, 2023}}
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