PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Esuli A., Sebastiani F. Enhancing opinion extraction by automatically annotated lexical resources. In: LTC 2009 - 4th Language Technology Conference (Poznan, PL, November 6-8 2009). Proceedings, pp. 224 - 228. Zygmunt Vetulani (ed.). LTC, 2009.
 
 
Abstract
(English)
In this paper we tackle an opinion extraction (OE) task, i.e., identifying in a text each expression of subjectivity, the subject expressing it, and its possible target. We especially focus on how lexical resources specifically developed for opinion mining could be used to improve the performance of an opinion extraction system. We report results on two manually annotated corpora, one of English and one of Italian texts. We evaluate our results using standard evaluation measures and also using two new evaluation measures we have proposed.
URL: http://nmis.isti.cnr.it/sebastiani/Publications/LTC09.pdf
Subject Opinion extraction
Information extraction
Lexical resources
Opinion mining
Sentiment analysis
I.2.6 Learning (K.3.2)


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