Team re-occurrence measures for analyzing style

Sarkar, Avik; De Roeck, Anne and Garthwaite, Paul (2005). Team re-occurrence measures for analyzing style. In: Proceedings of the SIGIR 2005 Workshop on Stylistic Analysis of Text for Information Access. (Argamon, S.; Karlgren, J. and Shanahan, J.G. eds.), ACM Press, pp. 28–36.

URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=...

Abstract

In this paper, we propose to investigate style through modeling burstiness in the occurrence patterns of terms in different collections. We set out a fine grained model that looks at gaps between the successive occurrence of the term using a mixture of exponential distributions. A Bayesian framework allows flexibility in fitting the model. The parameter estimates are then studied to understand the distributional properties of a term in various collections. We investigate the behaviour of a range of terms and conclude that the model brings out useful features that may be deployed in the analysis of style.

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About

• Item ORO ID
• 22562
• Item Type
• Conference or Workshop Item
• Keywords
• term burstiness, term re-occurrence, Bayesian analysis, mixture models, stylistic analysis, frequent terms
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
  Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2005 The Authors
• Depositing User
• Sarah Frain