Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Limits of opinion-finding baseline systems
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Positional language models for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Sentiment retrieval using generative models
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Facet-based opinion retrieval from blogs
Information Processing and Management: an International Journal
ACM SIGIR Forum
Sentence-level contextual opinion retrieval
Proceedings of the 20th international conference companion on World wide web
TEMPER: a temporal relevance feedback method
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Identifying disease diagnosis factors by proximity-based mining of medical texts
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Aggregating multiple opinion evidence in proximity-based opinion retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
From bias to opinion: a transfer-learning approach to real-time sentiment analysis
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Effective and efficient polarity estimation in blogs based on sentence-level evidence
Proceedings of the 20th ACM international conference on Information and knowledge management
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
A large-scale sentiment analysis for Yahoo! answers
Proceedings of the fifth ACM international conference on Web search and data mining
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
S2ORM: exploiting syntactic and semantic information for opinion retrieval
Proceedings of the 21st international conference companion on World Wide Web
Semantic-based opinion retrieval using predicate-argument structures and subjective adjectives
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Score transformation in linear combination for multi-criteria relevance ranking
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
Retrieval approach to extract opinions about people from resource scarce language news articles
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Aggregation Methods for Proximity-Based Opinion Retrieval
ACM Transactions on Information Systems (TOIS)
Exploiting syntactic and semantic relationships between terms for opinion retrieval
Journal of the American Society for Information Science and Technology
Natural language opinion search on blogs
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Reduction of training noises for text classifiers
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Enhancement of passage scorers by proximity-based term occurrence weighting
International Journal of Intelligent Information and Database Systems
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Blog post opinion retrieval aims at finding blog posts that are relevant and opinionated about a user's query. In this paper we propose a simple probabilistic model for assigning relevant opinion scores to documents. The key problem is how to capture opinion expressions in the document, that are related to the query topic. Current solutions enrich general opinion lexicons by finding query-specific opinion lexicons using pseudo-relevance feedback on external corpora or the collection itself. In this paper we use a general opinion lexicon and propose using proximity information in order to capture opinion term relatedness to the query. We propose a proximity-based opinion propagation method to calculate the opinion density at each point in a document. The opinion density at the position of a query term in the document can then be considered as the probability of opinion about the query term at that position. The effect of different kernels for capturing the proximity is also discussed. Experimental results on the BLOG06 dataset show that the proposed method provides significant improvement over standard TREC baselines and achieves a 2.5% increase in MAP over the best performing run in the TREC 2008 blog track.