DocumentCode :
1826796
Title :
Sentiment analysis of Hollywood movies on Twitter
Author :
Hodeghatta, Umesh Rao
Author_Institution :
Xavier Inst. of Manage., Bhubaneswar, India
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
1401
Lastpage :
1404
Abstract :
In recent years, analysis of opinions from social web has witnessed a boom merely because such a volume of opinions is difficult to obtain through any other normal means of collecting opinion like surveys, polls etc. The analysis is interesting but at the same time difficult because of the sheer volume of information that the social media generates on the internet and the range of opinions possible to be expressed. Twitter is one such social media where opinions expressed play a significant influence on the marketability of a product. Hence, an accurate method for predicting sentiments could enable us to understand customers´ preferences, their views on the product and services offered by the companies. These have the potential to create positive or negative wave in the market. Hence, this information is valuable for both companies and consumers. Enterprises can leverage this information for formalizing their strategies. The main focus of this paper is to analyze the sentiments expressed on Hollywood movies on Twitter so that customers´ opinions, habits and preferences are extracted, analyzed and used to understand the market behaviour for better customer experience.
Keywords :
Internet; marketing; social networking (online); text analysis; Hollywood movies; Internet; Twitter; customer habit; customer opinions; customer preference; opinion analysis; product marketability; sentiment analysis; sentiment prediction; social Web; social media; Companies; Conferences; Facebook; Media; Motion pictures; Twitter; Hollywood movies; Machine Learning; Opinion Mining; Sentiment Analysis; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON
Type :
conf
Filename :
6785884
Link To Document :
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