Sentiment Analysis on Twitter

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How Translation Alters Sentiment (2016, background): “2011; Genereux & Evans, 2006; Mihalcea & Liu, 2006), and tweets (Mohammad, 2012). Often these systems have to cater to the specific needs of the text such as formality versus informality, length of utterances, etc. Sentiment analysis systems developed specifically for tweets include those by Go, Bha”
From classification to quantification in tweet sentiment analysis (2016, background): “…has become a ubiquitous enabling technology in the Twit-tersphere, since classifying tweets according to the sentiment they convey towards a given entity has many applications in political science, social science, market research, and many others (Martı´nez-Ca´mara et al. 2014; Mejova et al. 2015).”
SemEval-2016 Task 4: Sentiment Analysis in Twitter (2016, methodology): “Classifying tweets according to sentiment has many applications in political science, social sciences, market research, and many others (Mart´ınez-C´amara et al., 2014; Mejova et al., 2015).”