Análise de sentimento de tweets com foco em notícias

• Paula Nascimento Universidade Federal do Rio de Janeiro
• Rodrigo Aguas Universidade Federal do Rio de Janeiro
• Débora de Lima Universidade Federal do Rio de Janeiro
• Xiao Kong Universidade Federal do Rio de Janeiro
• Bruno Osiek Universidade Federal do Rio de Janeiro
• Geraldo Xexéo Universidade Federal do Rio de Janeiro
• Jano de Souza Universidade Federal do Rio de Janeiro

Resumo

A curiosidade por saber o que as pessoas pensam e como se sentem em relação aos acontecimentos do dia a dia sempre existiu. Este trabalho tem por objetivo satisfazer essa necessidade e analisar se as pessoas reagem de forma positiva ou negativa em relação às notícias divulgadas na mídia. Para isso, foram selecionados 3 tópicos e, para cada um deles, informações publicadas no serviço de microblogging Twitter foram coletadas, analisadas e tiveram sua polaridade identificada. O experimento realizado utilizou classificadores de linguagem e, além de verificar qual a opinião da população em relação às notícias selecionadas, foi possível identificar dentre 3 modelos linguísticos distintos qual deles obteve melhor resultado ao classificar tweets.

Palavras-chave: Análise de Sentimentos, Twitter, Notícias

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