Umigon: Sentiment Analysis for Tweets Based on Lexicons and Heuristics
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Umigon is developed since December 2012 as a web application providing a service of sentiment detection in tweets. It has been designed to be fast and scalable. Umigon also provides indications for additional semantic features present in the tweets, such as time indications or markers of subjectivity. Umigon is in continuous development, it can be tried freely at www.umigon.com. Its code is open sourced at: https://github.com/seinecle/Umigon
[1] Ari Rappoport,et al. Enhanced Sentiment Learning Using Twitter Hashtags and Smileys , 2010, COLING.
[2] Saif Mohammad,et al. NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets , 2013, *SEMEVAL.
[3] Preslav Nakov,et al. SemEval-2013 Task 2: Sentiment Analysis in Twitter , 2013, *SEMEVAL.
[4] Johanna D. Moore,et al. Twitter Sentiment Analysis: The Good the Bad and the OMG! , 2011, ICWSM.