@inproceedings{bakliwal-etal-2012-hindi,
title = "{H}indi Subjective Lexicon: A Lexical Resource for {H}indi Adjective Polarity Classification",
author = "Bakliwal, Akshat and
Arora, Piyush and
Varma, Vasudeva",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/673_Paper.pdf",
pages = "1189--1196",
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 {\^a}¼79{\%} 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.",
}
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%0 Conference Proceedings
%T Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification
%A Bakliwal, Akshat
%A Arora, Piyush
%A Varma, Vasudeva
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F bakliwal-etal-2012-hindi
%X 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 â¼79% 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.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/673_Paper.pdf
%P 1189-1196
Markdown (Informal)
[Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification](http://www.lrec-conf.org/proceedings/lrec2012/pdf/673_Paper.pdf) (Bakliwal et al., LREC 2012)
ACL