A maximum entropy approach to natural language processing
Computational Linguistics
Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Effects of adjective orientation and gradability on sentence subjectivity
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Development and use of a gold-standard data set for subjectivity classifications
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Determining the semantic orientation of terms through gloss classification
Proceedings of the 14th ACM international conference on Information and knowledge management
Deriving quantitative overviews of free text assessments on the web
Proceedings of the 11th international conference on Intelligent user interfaces
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 subjective nouns using extraction pattern bootstrapping
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and 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 sources of opinions with conditional random fields and extraction patterns
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
Just how mad are you? finding strong and weak opinion clauses
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
A holistic lexicon-based approach to opinion mining
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Sentiment-Oriented Contextual Advertising
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
A survey on sentiment detection of reviews
Expert Systems with Applications: An International Journal
Identifying types of claims in online customer reviews
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Learning document-level semantic properties from free-text annotations
Journal of Artificial Intelligence Research
Blogger-centric contextual advertising
Proceedings of the 18th ACM conference on Information and knowledge management
Review sentiment scoring via a parse-and-paraphrase paradigm
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Incorporating content structure into text analysis applications
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A framework for employee appraisals based on sentiment analysis
Proceedings of the 1st International Conference on Intelligent Semantic Web-Services and Applications
Blogger-Centric Contextual Advertising
Expert Systems with Applications: An International Journal
A joint model of feature mining and sentiment analysis for product review rating
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Detecting forum authority claims in online discussions
LSM '11 Proceedings of the Workshop on Languages in Social Media
An upgrading feature-based opinion mining model on vietnamese product reviews
AMT'11 Proceedings of the 7th international conference on Active media technology
A review of opinion mining methods for analyzing citizens' contributions in public policy debate
ePart'11 Proceedings of the Third IFIP WG 8.5 international conference on Electronic participation
A link to the past: constructing historical social networks
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Structural opinion mining for graph-based sentiment representation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Decision Support Systems
Automatic generation of short informative sentiment summaries
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Multilingual sentiment analysis using machine translation?
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Extracting usability and user experience information from online user reviews
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic aggregation by joint modeling of aspects and values
Journal of Artificial Intelligence Research
Computer Speech and Language
Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text
Artificial Intelligence Review
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In this paper, we present a system that automatically extracts the pros and cons from online reviews. Although many approaches have been developed for extracting opinions from text, our focus here is on extracting the reasons of the opinions, which may themselves be in the form of either fact or opinion. Leveraging online review sites with author-generated pros and cons, we propose a system for aligning the pros and cons to their sentences in review texts. A maximum entropy model is then trained on the resulting labeled set to subsequently extract pros and cons from online review sites that do not explicitly provide them. Our experimental results show that our resulting system identifies pros and cons with 66% precision and 76% recall.