Predicting box office from the screenplay: A text analytical approach
| Autor: | Susan Smith, Starling David Hunter, Saba Singh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Information retrieval
Literature and Literary Theory Visual Arts and Performing Arts Computer science 05 social sciences 02 engineering and technology Rendering (computer graphics) Empirical research Network text analysis Content analysis Component (UML) 0502 economics and business 0202 electrical engineering electronic engineering information engineering Feature (machine learning) 050211 marketing 020201 artificial intelligence & image processing Box office |
| Zdroj: | Journal of Screenwriting. 7:135-154 |
| ISSN: | 1759-7137 |
| Popis: | Empirical studies of the determinants of box office revenues have mostly focused on post-production factors – that is, ones known after the film has been completed and/or released. Relatively few studies have considered pre-production factors – that is, ones known before a decision has been made to green-light a film project. The current study directly addresses this gap in the literature. Specifically, we develop and test a relatively parsimonious, pre-production model to predict the opening weekend box office of 170 US-produced, English-language feature films released in the years 2010 and 2011. Chief among the pre-production factors we consider are those derived from the textual and content analysis of the screenplays of these films. The most important of these is determined through the application of network text analysis (NTA) – a method for rendering a text as a map or network of interconnected concepts. As predicted, we find that the size of the main component of a screenplay’s text network strongly predicts the completed film’s opening weekend box office. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|