Sentiment Analysis on Brazilian News Broadcast Data

  • Alexandre Martins da Cunha
  • Isabela Santos
  • Daniel Pedrosa
  • Francis F. Steen
  • Mark Turner
  • Maira Avelar
  • Lilian Ferrari
  • Gustavo Paiva Guedes
DOI: https://doi.org/10.5753/brasnam.2018.3599

Resumo


This work aims to compare the occurrence of negative emotion words in Brazilian broadcast news JN and JR, and also analyzes Twitter posts related to them. We use the Brazilian Portuguese version of LIWC dictionary, which is a Sentiment Analysis software. The results indicate that both JN and JR tend to use negative emotion words, but in JR this tendency is greater. Nevertheless, Twitter posts direct more criticisms towards JN than JR.

Publicado
26/07/2018
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DA CUNHA, Alexandre Martins; SANTOS, Isabela; PEDROSA, Daniel; STEEN, Francis F.; TURNER, Mark; AVELAR, Maira; FERRARI, Lilian; GUEDES, Gustavo Paiva. Sentiment Analysis on Brazilian News Broadcast Data. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 7. , 2018, Natal. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . ISSN 2595-6094. DOI: https://doi.org/10.5753/brasnam.2018.3599.