Paper: Vocabulary Choice as an Indicator of Perspective

ACL ID P10-2047
Title Vocabulary Choice as an Indicator of Perspective
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010

We establish the following characteris- tics of the task of perspective classifi- cation: (a) using term frequencies in a document does not improve classification achieved with absence/presence features; (b) for datasets allowing the relevant com- parisons, a small number of top features is found to be as effective as the full feature set and indispensable for the best achieved performance, testifying to the existence of perspective-specific keywords. We re- late our findings to research on word fre- quency distributions and to discourse ana- lytic studies of perspective.