Open AccessSentiment Analysis on Brazilian News Broadcast Data
Author(s) -
Alexandre Martins da Cunha,
I. S. P. dos Santos,
Daniel Pedrosa,
Francis F. Steen,
Mark Turner,
Maíra Avelar,
Lílian Ferrari,
Gustavo Paiva Guedes
Publication year - 2018
Publication title -
anais do brazilian workshop on social network analysis and mining (brasnam)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/brasnam.2018.3599
Subject(s) - brazilian portuguese , sentiment analysis , portuguese , computer science , natural language processing , software , artificial intelligence , linguistics , psychology , philosophy , programming language
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.