Open AccessSentiProdBR: Building Domain-Specific Sentiment Lexicons for the Portuguese Language
Author(s) -
Tiago de Melo
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbbd.2021.17897
Subject(s) - computer science , portuguese , natural language processing , domain (mathematical analysis) , sentiment analysis , artificial intelligence , set (abstract data type) , lexicon , naive bayes classifier , brazilian portuguese , linguistics , support vector machine , programming language , mathematics , mathematical analysis , philosophy
Online reviews are readily available on the Web and widely used for decision-making. However, only a few studies on Portuguese sentiment analysis are reported due to the lack of resources including domain-specific sentiment lexical collections. In this paper, we present an effective methodology using probabilities of the Bayes’ Theorem for building a set of lexicons, called SentiProdBR, for 10 different product categories for the Portuguese language. Experimental results indicate that our methodology significantly outperforms several alternative approaches of building domain-specific sentiment lexicons.