Topic Modeling Using SVD and NMF

EasyChair Preprint no. 11004

Abstract

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

@Booklet{EasyChair:11004,
  author = {Botir Elov and Narzillo Aloyev and Aziz Yuldashev},
  title = {Topic Modeling Using SVD and NMF},
  howpublished = {EasyChair Preprint no. 11004},

  year = {EasyChair, 2023}}