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UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
Pierpaolo Basile
|
Nicole Novielli
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter
Vittoria Cozza
|
Marinella Petrocchi
|
http://sentistrength.wlv.ac.uk/
http://www.ark.cs.cmu
http://sentistrength.wlv.ac.uk/
http://it.wikipedia.org/wiki/Emoticon
http://www.csie.ntu.edu.tw/
http://www.ark.cs.cmu.edu/TweetNLP/
https://code.google.com/p/word2vec/
Field Of Study
Task
Tagging
Sentiment Analysis
Language
English
Dataset
Twitter
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