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A Study of Information Retrieval Weighting Schemes for Sentiment Analysis.

, and . ACL, page 1386-1395. The Association for Computer Linguistics, (2010)

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Sentiment in Twitter events., , and . J. Assoc. Inf. Sci. Technol., 62 (2): 406-418 (2011)Damping Sentiment Analysis in Online Communication: Discussions, Monologs and Dialogs., , , , , , , , , and . CICLing (2), volume 7817 of Lecture Notes in Computer Science, page 1-12. Springer, (2013)A Study of Information Retrieval Weighting Schemes for Sentiment Analysis., and . ACL, page 1386-1395. The Association for Computer Linguistics, (2010)Sentiment strength detection in short informal text, , , , and . Journal of the American Society for Information Science and Technology, 61 (12): 2544--2558 (2010)Entropy-growth-based model of emotionally charged online dialogues, , , and . CoRR, (2012)Collection-integral source selection for uncooperative distributed information retrieval environments., , and . Inf. Sci., 180 (14): 2763-2776 (2010)Sentiment-based event detection in Twitter.. J. Assoc. Inf. Sci. Technol., 67 (7): 1576-1587 (2016)Using social media for continuous monitoring and mining of consumer behaviour., , and . Int. J. Electron. Bus., 11 (1): 85-96 (2014)Algorithms and strategies for source selection and results merging (collection fusion algorithms) in distributed information retrieval systems. University of Macedonia Economic and Social Sciences, Greece, (2009)National Archive of PhD Theses: oai:10442/17323.University of Wolverhampton at the TREC 2011 Microblog Track., and . TREC, volume 500-296 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2011)