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@article{146121,
        author = {Merim Babu and B.Muni Archana},
        title = {Prediction of Movie Success through the Data Mining},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {1902-1906},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146121},
        abstract = {Predicting a movie’s opening success is a difficult problem, since it does not always depend on its quality only. External factors such as competing movies, time of the year and even weather influence the success as these factors impact the Box-office sales for the moving opening. The topic of movies is of considerable interest in the social media user community. Posting online reviews is a new trend set for people to share with other users their opinions and sentiments toward products and services. E-commerce websites provides the venues and facilities for people to publish their reviews. Those online reviews present a wealth of information. In this project, reviews of viewers from movie fertility are collected and processed. When the movie trailer releases various reviews are posted by users on social media sites. We are mining those reviews and predicting performance of the movie. These predictions will be used by shareholders and box office for the movie business. We label the prediction in three classes, Hit, Neutral and Flop},
        keywords = {YouTube, Online reviews, Opinions, Data Mining, Prediction, Regression Model.},
        month = {},
        }