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Box-Office Opening Prediction of Movies based on Hype Analysis through Data Mining

by Ajay Siva Santosh Reddy, Pratik Kasat, Abhiyash Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 1
Year of Publication: 2012
Authors: Ajay Siva Santosh Reddy, Pratik Kasat, Abhiyash Jain
10.5120/8852-2794

Ajay Siva Santosh Reddy, Pratik Kasat, Abhiyash Jain . Box-Office Opening Prediction of Movies based on Hype Analysis through Data Mining. International Journal of Computer Applications. 56, 1 ( October 2012), 1-5. DOI=10.5120/8852-2794

@article{ 10.5120/8852-2794,
author = { Ajay Siva Santosh Reddy, Pratik Kasat, Abhiyash Jain },
title = { Box-Office Opening Prediction of Movies based on Hype Analysis through Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 1 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number1/8852-2794/ },
doi = { 10.5120/8852-2794 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:43.399927+05:30
%A Ajay Siva Santosh Reddy
%A Pratik Kasat
%A Abhiyash Jain
%T Box-Office Opening Prediction of Movies based on Hype Analysis through Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 1
%P 1-5
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Box-office performance of a movie is mainly determined by the amount the movie collects in the opening weekend and Pre-Release hype is an important factor as far as estimating the openings of the movie are concerned. This can be estimated through user opinions expressed online on sites such as Twitter which is an online micro-blogging site with a user base running into millions. Each user is entitled to his own opinion which he expresses through his tweets. This paper suggests a novel way to mine and analyze the opinions expressed in these tweets with respect to a movie prior to its release, estimate the hype surrounding it and also predict the box-office openings of the movie.

References
  1. Ramesh Sharda, DursunDelen, "Predicting boxofficesuccess of motion pictures with neural networks", Department of Management Science and Information Systems, William S. Spears School of Business, Oklahoma State University, Stillwater, OK 74078, USA
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  10. Twitter, http://en. wikipedia. org/wiki/Twitter
Index Terms

Computer Science
Information Sciences

Keywords

Twitter hype micro-blogging opening movies

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