Evaluating multilanguage-comparability of subjectivity analysis systems

Authors:
Jungi Kim;Jin-Ji Li;Jong-Hyeok Lee
Affiliations:
Pohang University of Science and Technology, Pohang, Republic of Korea;Pohang University of Science and Technology, Pohang, Republic of Korea;Pohang University of Science and Technology, Pohang, Republic of Korea
Venue:
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Year:
2010

Citing 11
Cited 3

Thumbs up?: sentiment classification using machine learning techniques

EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Learning extraction patterns for subjective expressions

EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Recognizing contextual polarity in phrase-level sentiment analysis

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Identifying and analyzing judgment opinions

HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums

ACM Transactions on Information Systems (TOIS)
Found in Translation: Conveying Subjectivity of a Lexicon of One Language into Another Using a Bilingual Dictionary and a Link Analysis Algorithm

ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
A machine learning approach to sentiment analysis in multilingual Web texts

Information Retrieval
Multilingual subjectivity analysis using machine translation

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Co-training for cross-lingual sentiment classification

ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Creating subjective and objective sentence classifiers from unannotated texts

CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing

Multilingual sentiment analysis using machine translation?

WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Preface: Computational approaches to subjectivity and sentiment analysis: Present and envisaged methods and applications

Computer Speech and Language
Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis

Computer Speech and Language

Quantified Score

Hi-index	0.00

Visualization

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.