Movie Success Prediction Using Data Mining

  Antara Upadhyay,  Nivedita Kamath,  Shalin Shanghavi,  Tanisha Mandvikar,  Pranali Wagh

The success rate of a movie is largely dependent on people's perception and opinions, through word-of-mouth. In today's digital world, word-of-mouth is prevalent in the form of reviews found online. The opening day and the first few weeks following a movie's release is crucial, and hence production houses place a lot of importance on moviegoers’ opinions, and develop trailers and publicity strategies to sway public opinion. Taking this into account, the paper proposes the use of a review system for predicting the success rate of a movie. Moviegoers’ opinions of a movie before and after the release of the movie will be determined using sentiment analysis. A custom dictionary will be developed comprising words commonly used in movie reviews, which will be mapped to their corresponding weight-age in order to score reviews on a scale of one to five, and accordingly classify the success rate of movies.

Keywords- Movie Reviews; Sentiment Analysis; Classification.

Unique Identification Number - IJEDR1804038
Page Number(s) - 198-203
Pubished in - Volume 6 | Issue 4 | November 2018
DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.19300
Publisher - IJEDR (ISSN - 2321-9939)

  Antara Upadhyay,  Nivedita Kamath,  Shalin Shanghavi,  Tanisha Mandvikar,  Pranali Wagh,   "Movie Success Prediction Using Data Mining", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.198-203, November 2018, Available at :http://www.ijedr.org/papers/IJEDR1804038.pdf