Open AccessAnalysing Movie Success Based on Machine Learning Algorithm
Author(s) -
Ashutosh Shankhdhar,
Vinay Agrawal,
Vikram Rajpoot
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1119/1/012008
Subject(s) - sort , profit (economics) , film industry , computer science , artificial intelligence , machine learning , marketing , stock market , algorithm , position (finance) , economics , advertising , business , finance , microeconomics , history , information retrieval , context (archaeology) , movie theater , archaeology , art history
The Film Industry is producing several hundreds of movies paving the way for the United States for third position in the list of giants of film Industry of the whole world [1]. The expenditure on these movies are of the ten to eleven figures or we can say thousands of millions of dollars, which ensure their box office success, is absolutely essential for the survival of the industry. Predicting what sort of movies are going to earn more and what type is going to come up short before the release, may profit the houses extraordinarily because it will also empower them to work on their promoting efforts which itself need numerous dollars, appropriately[2]. Furthermore, it would likewise assist them with knowing when it is generally suitable to deliver a film by taking a look at the general market. Along these lines, the examination of film achievement is critical to the business. ML (Machine Learning) algorithms [3] calculations broadly need to make expectations like development inside the stock trade, interest for items, nature of tumors, and so on.