Building a Restaurant-Specific Sentiment Lexicon via Probability Theory

  • Tiago de Melo UEA


Online user reviews written in Portuguese language are widely used by native speakers from several countries for decision-making and a large amount user reviews are available on the Web. However, only few studies on Portuguese sentiment analysis are reported as there is a lack of resources including domain-specific sentiment lexical collections. In this paper, we present an effective method for building a set of lexicons in restaurant domain for Portuguese language. The experiments on a large data collection of user reviews illustrate that our method significantly outperforms several alternative previous approaches of building domain-specific sentiment lexicon.
Palavras-chave: Lexicons, Sentiment Analysis, Text Mining, Portuguese Language
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MELO, Tiago de. Building a Restaurant-Specific Sentiment Lexicon via Probability Theory. In: SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 1. , 2021, Minas Gerais. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 129-132.