Prediction of Box Office Success of Movies using Hype Analysis of Twitter Data
Sameer Thigale1, Tushar Prasad2, Ustat Kaur Makhija3, Vibha Ravichandran4
1Sameer Thigale, Department of Computer, MIT College of Engineering, Savitribai Phule Pune University, Pune, India.
2Tushar Prasad, Department of Computer, MIT College of Engineering, Savitribai Phule Pune University, Pune, India.
3Ustat Kaur Makhija, Department of Computer, MIT College of Engineering, Savitribai Phule Pune University, Pune, India.
4Vibha Ravichandran, Department of Computer, MIT College of Engineering, Savitribai Phule Pune University Pune, India.
Manuscript received on December 01, 2014. | Revised Manuscript Received on December 21, 2014. | Manuscript published on December 20, 2014. | PP: 1-6 | Volume-3, Issue-1, December 2014. | Retrieval Number: A0548123114/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet and Social Networking play a vital role in research field. It contains a massive diction about what people think. Twitter, is a micro blogging site where people post their views and preferences related to their interests. In this project, we try to predict the box office success of the movie by analyzing the hype created amongst the mob. We use sentiment analysis of Twitter data for the same. We are also considering the distribution area of the movie along with its genre. To display the output we plot the graph which depicts the success ratio of the movie.
Keywords: prediction; social networking; regression; sentiment analysis;