This chapter discusses to which extent modern analytics techniques can help us understand the success of movies, as measured by their box office or attributed Oscars. Interesting lessons emerge from our analyses. Predicting box office revenue on the basis of data available before the release of the movie remains difficult, even with state-of-the-art techniques. Prediction markets are a remarkably powerful tool at predicting success at Oscars. A moderate amount of controversy, as measured by the number of underlying themes raised by movie reviewers, may prove to be helpful in obtaining an Academy Award for Best Picture
We collected movie dataset from Internet Movie Database (IMDB) website for our experiments using an ...
This paper introduces a new Web mining approach that combines social network analysis and automatic ...
This investigation addresses limitations associated with previous research to determine empirically ...
Purpose: Data analytics techniques can help to predict movie success, as measured by box office sale...
cUniversity of Cologne Elsevier use only: Received date here; revised date here; accepted date here ...
This research paper investigates the critical factors that impact the success and profitability of f...
American film studios collectively produce several hundred movies every year, making the United Stat...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
The main objective of the paper is to develop an econometric model to forecast box-office revenue o...
In this paper, I use a machine learning approach to explore the impact of movie recognition such as ...
The study of motion pictures in relation to economics is a unique and interesting topic because of a...
According to www.the-numbers.com/market/, gross revenue for the Hollywood movie industry was over US...
In this study we employ descriptive and predictive analytics tools to understand success of movies. ...
This study analyzes a comprehensive sample of 1,892 films from 2007-2019, looking at the relations b...
Galvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Informati...
We collected movie dataset from Internet Movie Database (IMDB) website for our experiments using an ...
This paper introduces a new Web mining approach that combines social network analysis and automatic ...
This investigation addresses limitations associated with previous research to determine empirically ...
Purpose: Data analytics techniques can help to predict movie success, as measured by box office sale...
cUniversity of Cologne Elsevier use only: Received date here; revised date here; accepted date here ...
This research paper investigates the critical factors that impact the success and profitability of f...
American film studios collectively produce several hundred movies every year, making the United Stat...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
The main objective of the paper is to develop an econometric model to forecast box-office revenue o...
In this paper, I use a machine learning approach to explore the impact of movie recognition such as ...
The study of motion pictures in relation to economics is a unique and interesting topic because of a...
According to www.the-numbers.com/market/, gross revenue for the Hollywood movie industry was over US...
In this study we employ descriptive and predictive analytics tools to understand success of movies. ...
This study analyzes a comprehensive sample of 1,892 films from 2007-2019, looking at the relations b...
Galvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Informati...
We collected movie dataset from Internet Movie Database (IMDB) website for our experiments using an ...
This paper introduces a new Web mining approach that combines social network analysis and automatic ...
This investigation addresses limitations associated with previous research to determine empirically ...