Movie Revenue Prediction Based on Purchase Intention Mining Using YouTube Trailer Reviews
作者：
Highlights：
• People's movie purchase intention can be extracted from YouTube trailer reviews.
• Purchase intention is highly correlated with box-office revenue and can be used to improve the prediction accuracy of box-office revenue prediction.
• Multiple linear regression perfomed better than support vector machines, neural network, and random forest in movie revenue prediction.
摘要
•People's movie purchase intention can be extracted from YouTube trailer reviews.•Purchase intention is highly correlated with box-office revenue and can be used to improve the prediction accuracy of box-office revenue prediction.•Multiple linear regression perfomed better than support vector machines, neural network, and random forest in movie revenue prediction.
论文关键词：Box-office,Movie revenue,Sentiment analysis,Data mining,Machine learning,Trailer reviews
论文评审过程：Received 2 September 2019, Revised 20 February 2020, Accepted 21 April 2020, Available online 29 May 2020, Version of Record 29 May 2020.
论文官网地址：https://doi.org/10.1016/j.ipm.2020.102278
