Paper: Evaluating Multilanguage-Comparability of Subjectivity Analysis Systems

ACL ID P10-1061
Title Evaluating Multilanguage-Comparability of Subjectivity Analysis Systems
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Subjectivity analysis is a rapidly grow- ing field of study. Along with its ap- plications to various NLP tasks, much work have put efforts into multilingual subjectivity learning from existing re- sources. Multilingual subjectivity analy- sis requires language-independent crite- ria for comparable outcomes across lan- guages. This paper proposes to mea- sure the multilanguage-comparability of subjectivity analysis tools, and provides meaningful comparisons of multilingual subjectivity analysis from various points of view.