Predictive Model for Box-office Success of Movies Using Social media |
Author(s): |
| Poonam Thite , Thakur college of engineering and technology; Nikita Shah, Thakur college of engineering and technology; Poonam Thite, Thakur college of engineering and technology |
Keywords: |
| Social media, Prediction, Likes, Followers, Counting sort, Database, Data extraction |
Abstract |
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Social media comprises interactive applications and platforms for creating, sharing and exchange of user-generated contents. The past ten years have brought huge growth in social media, especially online social networking services, and it is changing our ways to organize and communicate. It aggregates opinions and feelings of diverse groups of people at low cost. Mining the attributes and contents of social media gives us an opportunity to discover social structure characteristics, analyze action patterns qualitatively and quantitatively, and sometimes the ability to predict future human related events. We have assessed how buzz and attention is created for different movies and how that changes over time. Movie producers spend a lot of effort and money in publicizing their movies, and have also embraced the Twitter medium for this purpose. Our hypothesis was the movies that are well talked about are well-watched. |
Other Details |
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Paper ID: IJSRDV2I2375 Published in: Volume : 2, Issue : 2 Publication Date: 01/05/2014 Page(s): 673-675 |
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