Building a fine-grained subjectivity lexicon from a web corpus

Isa Maks, Piek Vossen


Abstract
In this paper we propose a method to build fine-grained subjectivity lexicons including nouns, verbs and adjectives. The method, which is applied for Dutch, is based on the comparison of word frequencies of three corpora: Wikipedia, News and News comments. Comparison of the corpora is carried out with two measures: log-likelihood ratio and a percentage difference calculation. The first step of the method involves subjectivity identification, i.e. determining if a word is subjective or not. The second step aims at the identification of more fine-grained subjectivity which is the distinction between actor subjectivity and speaker / writer subjectivity. The results suggest that this approach can be usefully applied producing subjectivity lexicons of high quality.
Anthology ID:
L12-1607
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:
3070–3076
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1018_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Isa Maks and Piek Vossen. 2012. Building a fine-grained subjectivity lexicon from a web corpus. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3070–3076, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Building a fine-grained subjectivity lexicon from a web corpus (Maks & Vossen, LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1018_Paper.pdf