Identifying and extracting subjective information from News, Blogs and other user generated content has lot of applications. Most of the earlier work concentrated on English data. But, recently subjectivity related research at sentence-level in other languages has increased. In this paper, we achieve sentence-level subjectivity classification using language independent feature weighing and selection methods which are consistent across languages. Experiments performed on 5 different languages including English and South Asian language Hindi show that Entropy based category coverage difference criterion (ECCD) feature selection method with language independent feature weighing methods outperforms other approaches for subjective classification.
For example, REF presented sentence-level subjectivity classification using language independent feature weighting and performed experiments on 5 different languages including English and a South Asian language (Hindi).
Language Independent Sentence-Level Subjectivity Analysis with Feature Selection
PACLIC
Sociology Computer Science