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

Authors

Efthymios Kouloumpis,Theresa Wilson,Johanna Moore

i-sieve Technologies,Johns Hopkins University,University of Edinburgh


Proceedings:

Proceedings of the International AAAI Conference on Web and Social Media, 5

Volume

Issue:

Vol. 5 No. 1 (2011): Fifth International AAAI Conference on Weblogs and Social Media

Track:

Poster Papers

Downloads:

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Abstract:

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.

DOI:

10.1609/icwsm.v5i1.14185


ICWSM

Vol. 5 No. 1 (2011): Fifth International AAAI Conference on Weblogs and Social Media