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mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter
Vittoria Cozza
|
Marinella Petrocchi
|
Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
SemEval-2016 Task 4: Sentiment Analysis in Twitter
Preslav Nakov
|
Alan Ritter
|
Sara Rosenthal
|
Fabrizio Sebastiani
|
Veselin Stoyanov
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https://en.wikipedia.org/wiki/SemEval
http://t.co/emvqoeRS6j
https://it.wikipedia.org/wiki/Emoticon
https://www.ling.upenn.edu/courses/
http://tanl.di.unipi.it/en/
http://sentiment.christopherpotts.net/
http://sentic.net/
http://scikit-learn.org/stable/
http://scikit-learn.org/stable/
http://t.co/v4fkyOx2eW
http://alt.qcri.org/semeval2016/task4/
Field Of Study
Task
Tagging
Sentiment Analysis
Approach
Deep Learning
Language
English
Dataset
Twitter
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