Using topic modeling to find main discussion topics in brazilian political websites-Reference-Cited by-同舟云学术

Using topic modeling to find main discussion topics in brazilian political websites

Published:2019-10-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th Brazillian Symposium on Multimedia and the Web
language:
Short-container-title:

Author:

Bertalan Vithor Gomes¹,Ruiz Evandro Eduardo Seron²

Affiliation:

1. University São Paulo (USP), Ribeirão Preto, SP

2. University of São Paulo (USP), Ribeirão Preto, SP

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3323503.3360644

Reference29 articles.

1. Utilizing Hashtags for Sentiment Analysis of Tweets in The Political Domain

2. Leticia H Anaya. 2011. Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers. ERIC. Leticia H Anaya. 2011. Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers. ERIC.

3. A general framework to expand short text for topic modeling

4. 10.1162/jmlr.2003.3.4-5.993

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Análise longitudinal do discurso dos políticos brasileiros;Revista Brasileira de Computação Aplicada;2023-11-27

2. Examining the Role of Natural Language Processing in Generating Topics from Web Content;2023 IEEE International Conference on Computing (ICOCO);2023-10-09

3. Comparison of Topic Modelling Approaches in the Banking Context;Applied Sciences;2023-01-06

4. How Politicians Communicate in Social Media: A Cross-Platform Study;Brazilian Symposium on Multimedia and Web;2022-11-07

5. Ethics: What is the Research Scenario in the Brazilian Symposium WebMedia?;Brazilian Symposium on Multimedia and Web;2022-11-07