A Classification of Adjectives for Polarity Lexicons Enhancement

Silvia Vázquez, Núria Bel


Abstract
Subjective language detection is one of the most important challenges in Sentiment Analysis. Because of the weight and frequency in opinionated texts, adjectives are considered a key piece in the opinion extraction process. These subjective units are more and more frequently collected in polarity lexicons in which they appear annotated with their prior polarity. However, at the moment, any polarity lexicon takes into account prior polarity variations across domains. This paper proves that a majority of adjectives change their prior polarity value depending on the domain. We propose a distinction between domain dependent and domain independent adjectives. Moreover, our analysis led us to propose a further classification related to subjectivity degree: constant, mixed and highly subjective adjectives. Following this classification, polarity values will be a better support for Sentiment Analysis.
Anthology ID:
L12-1079
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3557–3561
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/223_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Silvia Vázquez and Núria Bel. 2012. A Classification of Adjectives for Polarity Lexicons Enhancement. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3557–3561, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
A Classification of Adjectives for Polarity Lexicons Enhancement (Vázquez & Bel, LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/223_Paper.pdf