Predicting American Movie Genre Categories from Linguistic Characteristics

Authors

  • Tony Berber Sardinha Sao Paulo Catholic University
  • Marcia Veirano Pinto Sao Paulo Catholic University

DOI:

https://doi.org/10.1558/jrds.v2i1.27515

Keywords:

Multidimensional Analysis, American movies, genre prediction

Abstract

The goal of the current study is to explore the possibility of correctly classifying movie transcripts into movie genres by means of a Discriminant Function Analysis (DFA) based on a previous comprehensive multidimensional (MD) analysis of American cinema. MD analysis is a framework for describing the salient characteristics of text varieties by means of multivariate statistical techniques, notably factor analysis. Traditionally, MD analysis has been restricted to the study of register variation, being largely ignored in text classification research. In the MD analysis reported, a large genre-diversified movie corpus was tagged for lexico-grammatical features with the Biber tagger and the resulting factor scores were used as input for the DFA. The results showed that particular movie genres could be successfully predicted from the MD analysis, thereby lending credence to movie genre distinctions, while at the same time stressing the robustness of MD factor scores as reliable predictors of genre distinctions.

Author Biographies

Tony Berber Sardinha, Sao Paulo Catholic University

Tony Berber Sardinha is Associate Professor, Dept. of Linguistics and Graduate Program in Applied Linguistics, Sao Paulo Catholic University, Brazil.

Marcia Veirano Pinto, Sao Paulo Catholic University

Marcia Veirano Pinto is a PhD in Applied Linguistics from Sao Paulo Catholic University and has several year's experience teaching English as a foreign language and as a teacher trainer. She is currently a post-doctoral researcher at Sao Paulo Catholic University working alongside Prof. Berber Sardinha.

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Published

2016-02-16

How to Cite

Berber Sardinha, T., & Veirano Pinto, M. (2016). Predicting American Movie Genre Categories from Linguistic Characteristics. Journal of Research Design and Statistics in Linguistics and Communication Science, 2(1), 75–102. https://doi.org/10.1558/jrds.v2i1.27515

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Section

Articles