Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Determining the semantic orientation of terms through gloss classification
Proceedings of the 14th ACM international conference on Information and knowledge management
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
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
Topic sentiment mixture: modeling facets and opinions in weblogs
Proceedings of the 16th international conference on World Wide Web
Sentiment retrieval using generative models
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
A Unified Framework for Opinion Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Adaptive subjective triggers for opinionated document retrieval
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Sentiment Clustering: A Novel Method to Explore in the Blogosphere
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
A unified relevance model for opinion retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Topic-dependent sentiment analysis of financial blogs
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion
Discovering the discriminative views: measuring term weights for sentiment analysis
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
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
Domain Specific Opinion Retrieval
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Proximity-based opinion retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
High precision opinion retrieval using sentiment-relevance flows
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
ACM SIGIR Forum
A unified graph model for sentence-based opinion retrieval
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Quality evaluation of product reviews using an information quality framework
Decision Support Systems
Learning and knowledge-based sentiment analysis in movie review key excerpts
Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
Implicit feature identification via co-occurrence association rule mining
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Mining contrastive opinions on political texts using cross-perspective topic model
Proceedings of the fifth ACM international conference on Web search and data mining
Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval
Proceedings of the fifth ACM international conference on Web search and data mining
Summarizing and extracting online public opinion from blog search results
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Blog opinion retrieval based on topic-opinion mixture model
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Identifying controversial issues and their sub-topics in news articles
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Using predicate-argument structures for context-dependent opinion retrieval
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Semantic-based opinion retrieval using predicate-argument structures and subjective adjectives
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
An effective approach for topic-specific opinion summarization
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
A new generative opinion retrieval model integrating multiple ranking factors
Journal of Intelligent Information Systems
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
Aggregation Methods for Proximity-Based Opinion Retrieval
ACM Transactions on Information Systems (TOIS)
Cross-domain co-extraction of sentiment and topic lexicons
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Active learning for imbalanced sentiment classification
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Collocation polarity disambiguation using web-based pseudo contexts
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Dual word and document seed selection for semi-supervised sentiment classification
Proceedings of the 21st ACM international conference on Information and knowledge management
Natural language opinion search on blogs
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Hi-index | 0.00 |
Opinion retrieval is a task of growing interest in social life and academic research, which is to find relevant and opinionate documents according to a user's query. One of the key issues is how to combine a document's opinionate score (the ranking score of to what extent it is subjective or objective) and topic relevance score. Current solutions to document ranking in opinion retrieval are generally ad-hoc linear combination, which is short of theoretical foundation and careful analysis. In this paper, we focus on lexicon-based opinion retrieval. A novel generation model that unifies topic-relevance and opinion generation by a quadratic combination is proposed in this paper. With this model, the relevance-based ranking serves as the weighting factor of the lexicon-based sentiment ranking function, which is essentially different from the popular heuristic linear combination approaches. The effect of different sentiment dictionaries is also discussed. Experimental results on TREC blog datasets show the significant effectiveness of the proposed unified model. Improvements of 28.1% and 40.3% have been obtained in terms of MAP and p@10 respectively. The conclusion is not limited to blog environment. Besides the unified generation model, another contribution is that our work demonstrates that in the opinion retrieval task, a Bayesian approach to combining multiple ranking functions is superior to using a linear combination. It is also applicable to other result re-ranking applications in similar scenario.