Twitter Sentiment Analysis: The Good the Bad and the OMG!

Efthymios Kouloumpis, Theresa Wilson, Johanna D. Moore

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we investigate the utility of linguistic features for detecting the sentiment of Twitter messages. We evaluate the usefulness of existing lexical resources as well as features that capture information about the informal and creative language used in microblogging. We take a supervied approach to the problem, but leverage existing hashtags in the Twitter data for building training data.
Original languageEnglish
Title of host publicationProceedings of the Fifth International Conference on Weblogs and Social Media, Barcelona, Catalonia, Spain, July 17-21, 2011
PublisherAAAI Press
Number of pages4
Publication statusPublished - 2011


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