期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：4
页码：5794
DOI：10.15680/IJIRSET.2017.0604192
出版社：S&S Publications
摘要：Now a day, use of social media has been increased widely. By using social media like Twitter, YouTubeetc. users can posts their reviews about movies. The economists, investors and predictive analysts are very interested topredict the success of their movies. For predicting success as well as popularity of movies number of factors affectedlike actor, actress, invested budget, production house, genre, PG rating. In this project, machine learning algorithms areused for predictive analysis. Machine learning algorithms applied on conventional, collected from movies databases,and social media features (text comments on Tweets, YouTube). Mining the attributes and contents of social mediagives us an opportunity to discover social structure characteristics, analyse action patterns qualitatively andquantitatively, and sometimes the ability to predict future human related events. Result of this project that predicts thesuccess with control and use of sentiments form social media and other social media features.
关键词：Data Mining; Predictive Analysis; Classification; Regression; social media; social network; social;networking service; user-generated contents.
