Box Office Addiction Using Machine Learning Essay

Box Office Prediction Using Machine Learning

Mrs. Abha Tewari

Assistant Professor

V.E.S Institute of Technology,

Chembur.

[e-mail]

Heena Ramrakhyani

Student

V.E.S Institute of Technology,

Chembur.

[e-mail]

Jatin Lalwani

Student

V.E.S Institute of Technology,

Chembur.

[e-mail]

Laveen Mamtani

Student

V.E.S Institute of Technology,

Chembur.

[e-mail]

Yogeeta Manglani

Student

V.E.S Institute of Technology,

Chembur.

[e-mail]

Abstract—The aim is to use Machine Learning to predict the success of a movie in terms of its

predicted values) using matplotlib library. Following was the output:

Now once the movie is released we use its IMDb ratings and actual first day collection to predict the Lifetime collection of the movie. Here again we use Multiple Linear regression. We used the same dataset to check the accuracy and plotted the graph.

V. CONCLUSION The data is collected from Youtube API, BollywoodMDb.com, Koimoi.com, OMDbAPI.com. Data analysis in WEKA showed us that all the attributes are linearly related to the label. The prediction is 85% accurate which makes this system very useful. Also sentiment analysis is not done anywhere which makes the system faster as well.

VI. ACKNOWLEDGEMENTS

Our special Thanks to Mrs. J.M.Nair, , Mrs. Nupur Giri, Mrs. Abha Tewari and Computer Department of Vivekanand Education Society Institute of Technology for guiding us in publishing this paper.

VII. REFERENCES http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5562762&queryText%3DMovie+Success+Prediction+Using+Data+Mining http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5473531&queryText%3DMovie+Success+Prediction