Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification

Akshat Bakliwal, Piyush Arora, Vasudeva Varma


Abstract
With recent developments in web technologies, percentage web content in Hindi is growing up at a lighting speed. This information can prove to be very useful for researchers, governments and organization to learn what's on public mind, to make sound decisions. In this paper, we present a graph based wordnet expansion method to generate a full (adjective and adverb) subjective lexicon. We used synonym and antonym relations to expand the initial seed lexicon. We show three different evaluation strategies to validate the lexicon. We achieve 70.4% agreement with human annotators and ∼79% accuracy on product review classification. Main contribution of our work 1) Developing a lexicon of adjectives and adverbs with polarity scores using Hindi Wordnet. 2) Developing an annotated corpora of Hindi Product Reviews.
Anthology ID:
L12-1390
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:
1189–1196
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/673_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Akshat Bakliwal, Piyush Arora, and Vasudeva Varma. 2012. Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1189–1196, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification (Bakliwal et al., LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/673_Paper.pdf