Proceedings ArticleDOI
Role of different factors in predicting movie success
Anand Bhave,Himanshu Kulkarni,Vinay Biramane,Pranali Kosamkar +3 more
- pp 1-4
TLDR
This paper suggests that the integration of both the classical and the social factors (anticipation and user feedback) and the study of interrelation among the classical factors will lead to more accuracy.Abstract:
Due to rapid digitization and emergence of social media the movie industry is growing by leaps and bounds. The average number of movies produced per year is greater than 1000. So to make the movie profitable, it becomes a matter of concern that the movie succeeds. Given the low success rate, models and mechanisms to predict reliably the ranking and or box office collections of a movie can help de-risk the business significantly and increase average returns. The current predictive models available are based on various factors for assessment of the movie. These include the classical factors such as cast, producer, director etc. or the social factors in form of response of the society on various online platforms. This methodology lacks to harvest the required accuracy level. Our paper suggests that the integration of both the classical and the social factors (anticipation and user feedback) and the study of interrelation among the classical factors will lead to more accuracy.read more
Citations
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Proceedings ArticleDOI
A Machine Learning Based Movie Status Evaluation System for Bangladesh Movies
Sharmin Akter,MN Huda +1 more
TL;DR: This study develops a machine learning based on movie status evaluation system for Bangladesh movies based on three different types of Machine Learning (ML) based classification, Binary classifier that includes two targeted classes, Triple classifiers that includes three targeted classes and, four classifier That includes four targeted classes.
Book ChapterDOI
Predicting the Pre-release Success of a Web Series’ Season
TL;DR: In this article , the authors used the impact of different classical factors like genre, age certification, time of release, the platform of release and social factors like the sentiment of the audience around the trailer, songs, and success of the previous season in predicting the success of an English web series by creating a dataset.
Journal ArticleDOI
Predicting attributes based movie success through ensemble machine learning
Vedika Gupta,Nikita Jain,Harshit Garg,Srishti Jhunthra,S. Mohan,Abdullah Hisam Omar,Ali Ahmadian +6 more
Movie Industry Economics: How Data Analytics Can Help Predict Movies’ Financial Success
Paul Clemens Murschetz,Christophe Bruneel,Jean-Louis Guy,Dominique Haughton,Nicolas Lemercier,Mark-David McLaughlin,Kevin Mentzer,Quentin Vialle,Changan Zhang,Barira Bakhtawar +9 more
TL;DR: A model for predicting box office sales and the chance of nomination for winning Oscars is developed and cinema managers and investors can use the proposed model as a guide for predicting movies’ financial success.
Proceedings ArticleDOI
Movie Revenue Prediction Using Regression and Clustering
TL;DR: This study shows that generally linear regression without clustering offers the model with the highest R-square, while linear regression with EM clustering yields the lowest RMSE.
References
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Journal ArticleDOI
Predicting box-office success of motion pictures with neural networks
Ramesh Sharda,Dursun Delen +1 more
TL;DR: Comparison of the use of the neural network in predicting the financial performance of a movie at the box-office before its theatrical release to models proposed in the recent literature as well as other statistical techniques using a 10-fold cross validation methodology shows that the neural networks do a much better job of predicting.
Journal ArticleDOI
Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data
Márton Mestyán,Taha Yasseri,Taha Yasseri,Taha Yasseri,János Kertész,János Kertész,János Kertész +6 more
TL;DR: It is shown that the popularity of a movie can be predicted much before its release by measuring and analyzing the activity level of editors and viewers of the corresponding entry to the movie in Wikipedia, the well-known online encyclopedia.
Journal ArticleDOI
Predicting movie grosses: Winners and losers, blockbusters and sleepers
TL;DR: In this paper, the authors predict movie grosses: Winners and Losers, Blockbusters and Sleepers, and predict the box office performance of each movie based on its box-office performance.
Proceedings ArticleDOI
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
TL;DR: A novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends to predict long-term trends on the popularity of relevant concepts such as brands, movies, and politicians are introduced.
Proceedings Article
Blogs as Predictors of Movie Success
TL;DR: Analysis of a comprehensive set of features extracted from blogs for prediction of movie sales is presented, using correlation, clustering and time-series analysis to study which features are best predictors.