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TweeNLP
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Twitter Based System: Using Twitter for Disambiguating Sentiment Ambiguous Adjectives
Alexander Pak
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Patrick Paroubek
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
*SEMEVAL |
Citations
URL
MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages
Cheng-Te Li
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Chien-Yuan Wang
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Chien-Lin Tseng
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Shou-De Lin
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Detecting Event-Related Links and Sentiments from Social Media Texts
Alexandra Balahur
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Hristo Tanev
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Don’t Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text
Duy Tin Vo
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Yue Zhang
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SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov
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Sara Rosenthal
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Zornitsa Kozareva
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Veselin Stoyanov
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Alan Ritter
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Theresa Wilson
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SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal
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Alan Ritter
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Preslav Nakov
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Veselin Stoyanov
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CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning
Kamla Al-Mannai
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Hanan Alshikhabobakr
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Sabih Bin Wasi
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Rukhsar Neyaz
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Houda Bouamor
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Behrang Mohit
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IITPatna: Supervised Approach for Sentiment Analysis in Twitter
Raja Selvarajan
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Asif Ekbal
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Indian Institute of Technology-Patna: Sentiment Analysis in Twitter
Vikram Singh
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Arif Md. Khan
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Asif Ekbal
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SAP-RI: Twitter Sentiment Analysis in Two Days
Akriti Vij
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Nishta Malhotra
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Naveen Nandan
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Daniel Dahlmeier
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SemEval-2015 Task 10: Sentiment Analysis in Twitter
Sara Rosenthal
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Preslav Nakov
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Svetlana Kiritchenko
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Saif Mohammad
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Alan Ritter
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Veselin Stoyanov
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http://twitter.com
http://dev.twitter.com/doc/get/search
http://babelfish.yahoo.com/
http://example.com
http://en.wikipedia.org/wiki/Emoticon#Asian
Field Of Study
Task
Sentiment Analysis
Machine Translation
Language
Chinese
English
Dataset
Twitter
Blogs
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