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UT-DB: An Experimental Study on Sentiment Analysis in Twitter
Zhemin Zhu
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Djoerd Hiemstra
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Peter Apers
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Andreas Wombacher
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
Citations
URL
No Citations Yet
http://nlp.stanford.edu/software/corenlp.shtml
http://www.ark.cs.cmu.edu/TweetNLP/
http://sentistrength.wlv.ac.uk/
https://code.google.com/p/opinionfinder/
http://sentiwordnet.isti.cnr.it/
Field Of Study
Linguistic Trends
Discourse
Task
Tagging
Named Entity Recognition
Sentiment Analysis
Language
English
Dataset
Twitter
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