Fuzzy sentiment analysis on microblogs for movie revenue prediction

Author

Gupta, Neeraj ; Abhinav, K.R. ; Annappa

Author_Institution

Comput. Sci. & Eng., Nat. Inst. of Technol., Surathkal, India

fYear

2013

fDate

10-11 Oct. 2013

Firstpage

1

Lastpage

4

Abstract

With 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.

Keywords

Web sites; data mining; entertainment; fuzzy set theory; text analysis; data sources; fuzzy sentiment analysis; fuzzy sentiment evaluation approach; microblogging; public opinion; sale performance patterns; text mining methodologies; weekly movie revenue prediction; Appraisal; Computer aided software engineering; Data mining; Dictionaries; Motion pictures; Predictive models; Probabilistic logic; Business Intelligence; Fuzzy Logic; PLSA; Sentiment Analysis; Text Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), 2013 International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4799-1082-3

Type

conf

DOI

10.1109/C2SPCA.2013.6749350

Filename

6749350