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
- 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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/1018_Paper.pdf