Sentiment analysis on twitter data for portuguese language

  • Authors:
  • Marlo Souza;Renata Vieira

  • Affiliations:
  • Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brasil;Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brasil

  • Venue:
  • PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
  • Year:
  • 2012

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Abstract

This work presents an study on Sentiment Analysis on Twitter data for the Portuguese language. It evaluates the impact of different preprocessing techniques, Portuguese polarity lexicons and negation models showing low impact of preprocessing and negation modelling in classification of tweets.