Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network

Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network

Abstract Topic modeling aims to discover latent themes in collections of text documents. It has various applications across fields such as sociology, opinion analysis, and media studies. In such areas, it is essential to have easily interpretable, diverse, and coherent topics. An efficient topic mod...

Full description

Bibliographic Details
Main Authors: Eric Austin, Shraddha Makwana, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Data Science and Engineering
Subjects:
Topic modeling
Community mining
Hierarchical topics
Information networks
Graphs
Natural language processing
Online Access:https://doi.org/10.1007/s41019-023-00239-2

Internet

https://doi.org/10.1007/s41019-023-00239-2

Similar Items