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SemEval-2013 Task 2: Sentiment Analysis in Twitter., , , , , and . CoRR, (2019)Learning to Disambiguate Potentially Subjective Expressions., and . CoNLL, ACL, (2002)The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings., , , , , , , and . MLMI, volume 5237 of Lecture Notes in Computer Science, page 272-283. Springer, (2008)Just How Mad Are You? Finding Strong and Weak Opinion Clauses., , and . AAAI, page 761-769. AAAI Press / The MIT Press, (2004)Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis, , and . Computational Linguistics, (2009)Annotating Expressions of Opinions and Emotions in Language., , and . Lang. Resour. Evaluation, 39 (2-3): 165-210 (2005)CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language., , and . EACL, page 306-314. The Association for Computer Linguistics, (2012)Annotating Opinions in the World Press., and . SIGDIAL Workshop, page 13-22. The Association for Computer Linguistics, (2003)Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter., , , , and . HLT-NAACL, page 1010-1019. The Association for Computational Linguistics, (2013)Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis., , and . HLT/EMNLP, page 347-354. The Association for Computational Linguistics, (2005)