Building a fine-grained subjectivity lexicon from a web corpus
Isa Maks, Piek T. J. M. Vossen · 2012
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.