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Prediction of a Movie’s Success Using Data Mining Techniques

  • Shikha MundraEmail author
  • Arjun Dhingra
  • Avnip Kapur
  • Dhwanika Joshi
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

A lot of movies release every day. Predicting success of a movie is a complex task as various factors influence its performance on the box office. Since a huge amount of capital is involved in the production, marketing, promotion and distribution of movies, it has been a topic of interest not just for the viewers, but also for the media and production houses and all others who are involved in these processes since a long time now. So, we decided to perform a study on this topic. For the study, we are using the IMDB dataset. In this Internet age, online publicity plays a major role in the success of a movie, so we felt the need of including sentiment analysis of tweets related to movies in our study. We used a variety of data mining models to get predictions as accurate as possible.

Keywords

Data mining K-nearest neighbor Movie prediction Random forest Sentiment analysis 

References

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    Saraee, M., White, S., Eccleston, J.: A Data Mining Approach to Analysis and Prediction of Movie Ratings. University of Salford, EnglandGoogle Scholar
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    Predicting Movie Box Office Profitability A Neural Network ApproachGoogle Scholar
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    Nithin, V.R., Pranav, M., Sarath Babu, P.B., Lijiya: A predicting movie success based on IMDB data. Int. J. Data Min. Tech. 03, 365–368 (2014)Google Scholar
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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Shikha Mundra
    • 1
    Email author
  • Arjun Dhingra
    • 1
  • Avnip Kapur
    • 1
  • Dhwanika Joshi
    • 1
  1. 1.Manipal University JaipurJaipurIndia

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