Topic Modeling Using SVD and NMF

EasyChair Preprint 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: NLP, NMF, SVD, Tematik modellashtirish, hujjat-atama

@booklet{EasyChair:11004,
  author    = {Botir Elov and Narzillo Aloyev and Aziz Yuldashev},
  title     = {Topic Modeling Using SVD and NMF},
  howpublished = {EasyChair Preprint 11004},
  year      = {EasyChair, 2023}}