Abstract
This paper describes the fifth year of the Sentiment Analysis in Twitter
task. SemEval-2017 Task 4 continues with a rerun of the subtasks of
SemEval-2016 Task 4, which include identifying the overall sentiment of the
tweet, sentiment towards a topic with classification on a two-point and on a
five-point ordinal scale, and quantification of the distribution of sentiment
towards a topic across a number of tweets: again on a two-point and on a
five-point ordinal scale. Compared to 2016, we made two changes: (i) we
introduced a new language, Arabic, for all subtasks, and (ii)~we made available
information from the profiles of the Twitter users who posted the target
tweets. The task continues to be very popular, with a total of 48 teams
participating this year.
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