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Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention.
Obscene language and evaluative response: an empirical study
Baudhuin, E.S.: · 1973
Earlier work this paper cites.
Affective norms for English words (ANEW): Instruction manual and affective ratings
Bradley, M.M., Lang, P.J.: · 1999
Earlier work this paper cites.
Recognizing contextual polarity in phrase-level sentiment analysis
Wilson, T., Wiebe, J., Hoffmann, P.: · 2005
Earlier work this paper cites.
Opinion mining and sentiment analysis
Pang, B., Lee, L.: · 2008
Earlier work this paper cites.
Rating offensive words in three television program contexts
Sapolsky, B.S., Shafer, D.M., Kaye, B.K.: · 2008
Cited alongside, same era.
Natural Language Processing with Python
Bird, S., Klein, E., Loper, E.: · 2009
Cited alongside, same era.
Sentiment strength detection in short informal text
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., Kappas, A.: · 2010
Cited alongside, same era.
Amazon Mechanical Turk for subjectivity word sense disambiguation
Akkaya, C., Conrad, A., Wiebe, J., Mihalcea, R.: · 2010
Later among the works it cites.
Twitter mood maps reveal emotional states of America
Biever, C.: · 2010
Later among the works it cites.
Good friends, bad news — affect and virality in Twitter
Hansen, L.K., Arvidsson, A., Nielsen, F.Å., Colleoni, E., Etter, M.: · 2011
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