标题：O sentimento político em redes sociais: big data, algoritmos e as emoções nos tweets sobre o impeachment de Dilma Rousseff | Political sentiment in social networks: big data, algorithims and emotions in tweets about the impeachment of Dilma Rousseff
其他标题：Political sentiment in social networks: big data, algorithims and
emotions in tweets about the impeachment of Dilma Rousseff
出版社：Laboratório Interdisciplinar em Inofrmação e Conhecimento (LIINC)
其他摘要：This article aims to expand the
perspectivist methodology (Malini, 2016)
of social networks analysis, incorporating
a proceeding of sentiment analysis of the
messages posted in networks of political
controversies, in particular, in two distinct
moments of the campaign for the
impeachment of President Dilma. The
first is the period of the outbreak of PT
protests, on March 15, 2015. The second,
on August 27, 2016, when the president is
deposed. We will be doing a theoretical
review about sentiment analysis in Big
Data on Twitter to build a methodology
that combines human classification of
texts with the application of genetic
algorithms of text analysis and to analyze
generic sentiments (based on positive /
negative polarization) and specific
sentiment, based on emotions like Joy,
Anger, Fear, Anticipation, Disgust,
Sadness, Surprise and Trust. It concludes
by demonstrating that pro and anti-Dilma
movements are marked by a
predominance of anger, fear and anxiety, confirming the hypothesis that an
offensive trolling demarcates the style of
indignation propagated by political
networks in Brazilian Twitter.
其他关键词：Sentiment Analysis; Big Data;
Social Network; Politics; Twitter.
