Fuzzy sentiment analysis on microblogs for movie revenue prediction

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dc.contributor.authorGupta, N.
dc.contributor.authorAbhinav, K.R.
dc.contributor.authorAnnappa, B.
dc.date.accessioned2026-02-06T06:40:12Z
dc.date.issued2013
dc.description.abstractWith the advent of microblogging in recent years, people voice their views about products, especially movies. Microblogs are rich sources of data that can be analyzed to derive useful knowledge like larger public opinion on a product, which can be utilized to derive sales performance patterns. In this paper we propose a novel fuzzy approach for evaluating sentiments expressed in microblogs, which are incorporated in text mining methodologies to predict weekly movie revenues. © 2013 IEEE.
dc.identifier.citationProceedings - 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013, 2013, Vol., , p. -
dc.identifier.urihttps://doi.org/10.1109/C2SPCA.2013.6749350
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/32778
dc.publisherIEEE Computer Society
dc.subjectBusiness Intelligence
dc.subjectFuzzy Logic
dc.subjectPLSA
dc.subjectSentiment Analysis
dc.subjectText Mining
dc.titleFuzzy sentiment analysis on microblogs for movie revenue prediction

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