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Evaluating Multilanguage-Comparability of Subjectivity Analysis Systems SCIE SCOPUS

Title
Evaluating Multilanguage-Comparability of Subjectivity Analysis Systems
Authors
Jungi KimJin-Ji LiJong-Hyeok Lee
Date Issued
2010-07
Publisher
ACL (Association for Computational Linguistics)
Abstract
Subjectivity analysis is a rapidly growing field of study. Along with its applications to various NLP tasks, much work have put efforts into multilingual subjectivity learning from existing resources. Multilingual subjectivity analysis requires language-independent criteria for comparable outcomes across languages. This paper proposes to measure the multilanguage-comparability of subjectivity analysis tools, and provides meaningful comparisons of multilingual subjectivity analysis from various points of view.
URI
https://oasis.postech.ac.kr/handle/2014.oak/34303
DOI
10.1115/PVP2010-25404
Article Type
Article
Citation
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, page. 595 - 603, 2010-07
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이종혁LEE, JONG HYEOK
Grad. School of AI
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