A Survey on Prediction of Movie’s Box Office Collection Using Social Media

Vani Sahu, Sumit Sharma


Predicting the box office profits of a movie prior to its world wide release are a significant but also an exigent problem that needs a advanced of Intelligence. Currently, social media has given away its diagnostic strength in a variety of fields, which encourages us to develop social media substance to predict box office profits. The collection of movies in provisions of profit relies on so many features for instance its making studio, type, screenplay superiority, pre release endorsement etc, each of which are usually utilized to approximation their probable achievement at the box office. Nevertheless, the “Wisdom of Crowd” and social media have been accredited as a powerful indication in appreciative customer activities to media. In this survey, we converse the influence of socially created Meta data derived from the social multimedia websites and review the effect of social media on box office collection and success of movies. This survey paper is written for (social networking) investigators who looking for to evaluate prediction of movies using social media. It gives a complete study of social media analytics for social networking, wikis, actually easy syndication feeds, blogs, newsgroups, chat and news feeds etc.

Keywords: Social Networking, Social media. Movie’s Box Office, Prediction, Profitability, Sentiment analysis

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ISSN (Paper)2224-5782 ISSN (Online)2225-0506
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