Analysis of Bulk Data from Social Media for Obtaining Public Sentiments
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
For every production house, getting an idea of how their movies are going to perform before release can be essential. A decade ago this would have been a very difficult task but now, the arrival social media has made it way easier. There are millions of opinions on almost every movie which is announced, about to release or has already been released on sites like Twitter, Facebook, Google+ and more. In our project, we analysed these opinions or microblogs to figure out the public sentiment towards several movies in their three stages i.e. three weeks before, release week and two weeks after the release day. We believe that data collected before release can successfully predict if the movie will compensate its cost of making or not. Our results are displayed in the form of graphs that we plotted for one such movie and they show how influential social media can be in the success or failure of any movie. By using social media, a production house can save a lot of money by decreasing the marketing budget if the analysis states that the public anticipation is dull. However, if the anticipation is positive, they can increase the marketing budget to make their product even more recognizable. Our research doesn’t just apply to the movie business, but to any other form of product that relies on word of mouth and social media presence to be successful. Our analysis states that if the social media presence is strong, the chances of success of the product can increase exponentially.
Authors and Affiliations
Vaibhav Sharma, Syed Adeel Ahmad, Shubham Gupta, Navin Kumar Trivedi
Keywords
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- EP ID EP22227
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