SemEval-2015 Task 10: Sentiment Analysis in Twitter
It provides a benchmark for sentiment analysis in social media, but is incremental as it builds on previous years' tasks.
The paper describes the SemEval-2015 shared task on sentiment analysis in Twitter, which included five subtasks for predicting sentiment in tweets and phrases, with over 40 teams participating annually.
In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Twitter. This was the most popular sentiment analysis shared task to date with more than 40 teams participating in each of the last three years. This year's shared task competition consisted of five sentiment prediction subtasks. Two were reruns from previous years: (A) sentiment expressed by a phrase in the context of a tweet, and (B) overall sentiment of a tweet. We further included three new subtasks asking to predict (C) the sentiment towards a topic in a single tweet, (D) the overall sentiment towards a topic in a set of tweets, and (E) the degree of prior polarity of a phrase.