Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
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
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
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Just how mad are you? finding strong and weak opinion clauses
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Utility scoring of product reviews
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A survey of trust in computer science and the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
The Future of Text-Meaning in Computational Linguistics
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Joint extraction of entities and relations for opinion recognition
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis
Computational Linguistics
Using linguistic cues for the automatic recognition of personality in conversation and text
Journal of Artificial Intelligence Research
Towards the definition of requirements for mixed fact and opinion question answering systems
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion
Toward opinion summarization: linking the sources
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
Annotating attribution in the Penn Discourse TreeBank
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
Educational Question Answering based on Social Media Content
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Opinion and generic question answering systems: a performance analysis
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Answering opinion questions with random walks on graphs
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 2 - Volume 2
Opinion Question Answering: Towards a Unified Approach
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Building a corpus and developing a question classifier to support messaging-based question answering
Proceedings of the 1st ACM International Health Informatics Symposium
Going beyond traditional QA systems: challenges and keys in opinion question answering
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Versatile question answering systems: seeing in synthesis
International Journal of Intelligent Information and Database Systems
A pilot study of opinion summarization in conversations
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Using pointwise mutual information to identify implicit features in customer reviews
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Mining wikipedia and yahoo! answers for question expansion in opinion QA
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Why question answering using sentiment analysis and word classes
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Answering opinion questions on products by exploiting hierarchical organization of consumer reviews
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Prior versus contextual emotion of a word in a sentence
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Classification of opinion questions
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Predicting subjectivity orientation of online forum threads
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Finding more trustworthy answers: Various trustworthiness factors in question answering
Journal of Information Science
Prior and contextual emotion of words in sentential context
Computer Speech and Language
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We investigate techniques to support the answering of opinion-based questions. We first present the OpQA corpus of opinion questions and answers. Using the corpus, we compare and contrast the properties of fact and opinion questions and answers. Based on the disparate characteristics of opinion vs. fact answers, we argue that traditional fact-based QA approaches may have difficulty in an MPQA setting without modification. As an initial step towards the development of MPQA systems, we investigate the use of machine learning and rule-based subjectivity and opinion source filters and show that they can be used to guide MPQA systems.