Multi-genre Movie Data Analysis Using Pearson's Correlation

Authors

  • Shalini Mounika Maturu  Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
  • Tamma Eekshitha  Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
  • Talla Ramya  Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
  • Tulluru Thanmai Durga  Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT1952102

Keywords:

Movies, Success, Attributes, Pearson’s Correlation.

Abstract

The success of a movie plays an important role because it usually involves huge amounts of investments. Thus it becomes important to know beforehand whether the movie will be successful or not. The aim of our work is to prove that various attributes or factors related to a movie could prove useful in predicting the success or failure of a movie. Since one single attribute is not sufficient to predict the success of a movie, we’ve used multiple attributes and the comparisons between various attributes and their correlation for the success prediction. Therefore, in this paper we are considering a statistical technique called Pearson’s correlation coefficient in finding out which factors are highly correlated with a movie’s ratings.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shalini Mounika Maturu, Tamma Eekshitha, Talla Ramya,Tulluru Thanmai Durga, " Multi-genre Movie Data Analysis Using Pearson's Correlation, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.881-887, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952102