A New Sentence-Based Interpretative Topic Modeling and Automatic Topic Labeling

A New Sentence-Based Interpretative Topic Modeling and Automatic Topic Labeling

This article presents a new conceptual approach for the interpretative topic modeling problem. It uses sentences as basic units of analysis, instead of words or n-grams, which are commonly used in the standard approaches.The proposed approach’s specifics are using sentence probability evaluations wi...

Full description

Bibliographic Details
Main Authors: Olzhas Kozbagarov, Rustam Mussabayev, Nenad Mladenovic
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Symmetry
Subjects:
natural language processing
topic modeling
automatic topic labeling
BERT
big data
minimum sum-of-squares clustering (MSSC)
Online Access:https://www.mdpi.com/2073-8994/13/5/837

Internet

https://www.mdpi.com/2073-8994/13/5/837

Similar Items