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