RESEARCH PAPER
A Survey on Box-Office Opening Weekend Prediction Using Twitter Data
 
More details
Hide details
1
Department of Computer Science Engineering, SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, India
Publication date: 2019-05-23
 
Eurasian J Anal Chem 2018;13(Engineering and Science SP):emEJAC181276
 
KEYWORDS
ABSTRACT
We live in times where about 1,986 feature films are produced annually and this amounts to the box office being worth $41.7 billion, making the film industries one of the biggest markets in the world. In out paper we are only concerned with films produced in the United States of America, which produces nearly 600 movies annually. We aim to find out the “buzz” around the movies and therefore predict the opening weekend for each movie. The opening weekend ticket sales depend upon the buzz the movie has generated since the announcement, trailers, TV spots and various other factors.Now, the impact of these trailers, TV spots, interviews on the general audience can be seen in terms of twitter reactions. This buzz in fact may be negative leading to a lower opening weekend. The buzz of the movie is the number of people talking about the movie. More the number of people talking about the movie, greater is the buzz surrounding the movie. To calculate the number of people talking about the movie we take twitter data into account. Now, people could be talking positively about the movie or negatively about the movie and we can use sentimental analysis algorithms to predict that. Finally based on these factors we try to form a model with best fits our data in order to make future predictions possible.
eISSN:1306-3057