Mining Social Networks: Tollywood Reviews for Analyzing UPC by Using Big Data Framework

Abstract

User postings on online sites are getting awareness for analysis of variety of application from both researchers and developers. Collect the data from one of the popular web site twitter data which is posting and sharing by film audiences. The authors analyzed these data by utilizing big data environment. For this purpose, proposed a new framework to find a division of user-created data related to south Indian films particularly Telugu movies. Huge amount of data is produced via movie audience reviews. Also discuss how to influence heterogeneous features from unprocessed data to make possible analysis of a variety of movie attributes, review remarks, and user profiles of South Indian films, which have enhanced in attractiveness with supporters of Indian film. In this work implemented an enhanced Apriori algorithm in MapReduce framework for more frequent reviews of a particular movie. Our results exhibit the flexibility and efficiency of the framework for retrieving more frequent reviews about the particular film in different forms of social networks and news contents, information which can in twirl be extended and employed to give pertinent, useful information to movie makers and distributors. Our results give more information to audiences to take decision for watching movie.