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SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases
Svetlana Kiritchenko
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Saif Mohammad
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Mohammad Salameh
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
On the Impact of Seed Words on Sentiment Polarity Lexicon Induction
Dame Jovanoski
|
Veno Pachovski
|
Preslav Nakov
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Sentiment Lexicons for Arabic Social Media
Saif Mohammad
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Mohammad Salameh
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Svetlana Kiritchenko
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Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases
Svetlana Kiritchenko
|
Saif Mohammad
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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling
Svetlana Kiritchenko
|
Saif M. Mohammad
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Sentiment Composition of Words with Opposing Polarities
Svetlana Kiritchenko
|
Saif M. Mohammad
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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
Svetlana Kiritchenko
|
Saif Mohammad
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Sentiment Analysis in Twitter: A SemEval Perspective
Preslav Nakov
|
http://alt.qcri.org/semeval2016/task7/
http://www.saifmohammad.com/WebPages/SCL.html
http://alt.qcri.org/semeval2016/task7/
http://alt.qcri.org/semeval2016/task7/
http://www.natcorp.ox.ac.uk/
http://saifmohammad.com/WebPages/ArabicSA.html
http://alt.qcri.org/semeval2016/task7/
http://saifmohammad.com/WebPages/NRC-Emotion-
Field Of Study
Task
Sentiment Analysis
Language
English
Arabic
Dataset
Social Media
Twitter
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