The nature of statistical learning theory
The nature of statistical learning theory
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
A systematic comparison of various statistical alignment models
Computational Linguistics
An introduction to boosting and leveraging
Advanced lectures on machine learning
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Near-duplicate detection for eRulemaking
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Towards automatic classification of discourse elements in essays
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
Computational Linguistics
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
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Multidimensional text analysis for eRulemaking
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Next steps in near-duplicate detection for eRulemaking
dg.o '06 Proceedings of the 2006 international conference on Digital government research
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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
Just how mad are you? finding strong and weak opinion clauses
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Exploring the characteristics of opinion expressions for political opinion classification
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
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To understand the subjective documents, for example, public comments on the government's proposed regulation, opinion identification and classification is required. Rather than classifying documents or sentences into binary polarities as in much previous work, we identify the main claim or assertion of the writer and classify it into the predefined classes of opinion (attitude) over the topic. For the classification of the claims, we automatically build a list of multi-word subjective expressions by extending a small set of seed words, using automatically generated paraphrases from machine translation corpus. Our supervised machine learning method shows significant improvement over the baseline both in identification and classification of claims.