Williams, G. K. and Anand, Sarabjot Singh (2009) Predicting the polarity strength of adjectives using WordNet. In: AAI International Conference on Weblogs and Social Media, San Jose, California, USA, 17-20 May 2009. Published in: Proceedings of the Third International ICWSM Conference (2009)

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Request Changes to record.

Abstract

A key element of any sentiment analysis system is the ability to assign a polarity strength value to words appearing within the documents. In this paper we present a novel approach to polarity strength assignment. The approach is knowledge based in that it uses WordNet to build an adjective graph which is used to measure semantic distance between words of known polarity (reference or seed words) and the target word, which is then used to assign a polarity to the target word. We extend previous work in this area by using a small training data set to learn an optimal predictor of polarity strength and to dampen polarity assigned to non-polar adjectives. We also extend the coverage of previous approaches by exploring additional lexical relations not studied previously. The method has been evaluated on a validation set and shows excellent potential in reducing the assignment of spurious polarity and accurately predicting polarity values for polar adjectives.

Item Type:	Conference Item (Paper)
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Journal or Publication Title:	Proceedings of the Third International ICWSM Conference (2009)
Publisher:	Association for the Advancement of Artificial Intelligence
Official Date:	2009
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Conference Paper Type:	Paper
Title of Event:	AAI International Conference on Weblogs and Social Media
Type of Event:	Conference
Location of Event:	San Jose, California, USA
Date(s) of Event:	17-20 May 2009
Related URLs:	Organisation

Request changes or add full text files to a record

Repository staff actions (login required)

View Item