An algorithm for suffix stripping
Readings in information retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
The Journal of Machine Learning Research
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A cross-collection mixture model for comparative text mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Pachinko allocation: DAG-structured mixture models of topic correlations
ICML '06 Proceedings of the 23rd international conference on Machine learning
Regularized estimation of mixture models for robust pseudo-relevance feedback
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A mixture model for contextual text mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Movie review mining and summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Extracting product features and opinions from reviews
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
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Pulse: mining customer opinions from free text
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Mining multi-faceted overviews of arbitrary topics in a text collection
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Chinese Blog Clustering by Hidden Sentiment Factors
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Post Recommendation in Social Web Site
EGOV '09 Proceedings of the 8th International Conference on Electronic Government
Learning document-level semantic properties from free-text annotations
Journal of Artificial Intelligence Research
Generating comparative summaries of contradictory opinions in text
Proceedings of the 18th ACM conference on Information and knowledge management
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion
Multi-grain hierarchical topic extraction algorithm for text mining
Expert Systems with Applications: An International Journal
Supervised Dual-PLSA for Personalized SMS Filtering
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Injecting Structured Data to Generative Topic Model in Enterprise Settings
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Sentiment analysis of conditional sentences
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Cross-domain sentiment classification via spectral feature alignment
Proceedings of the 19th international conference on World wide web
Chinese web comments clustering analysis with a two-phase method
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
DASA: Dissatisfaction-oriented Advertising based on Sentiment Analysis
Expert Systems with Applications: An International Journal
Sentiment learning on product reviews via sentiment ontology tree
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
OpinionIt: a text mining system for cross-lingual opinion analysis
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Identifying new categories in community question answering archives: a topic modeling approach
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Exploiting structured ontology to organize scattered online opinions
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
ReadAlong: reading articles and comments together
Proceedings of the 20th international conference companion on World wide web
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Structural topic model for latent topical structure analysis
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Selecting a comprehensive set of reviews
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Latent aspect rating analysis without aspect keyword supervision
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Analyzing text data for opinion mining
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
ImpactWheel: Visual Analysis of the Impact of Online News
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
A novel approach for clustering sentiments in Chinese blogs based on graph similarity
Computers & Mathematics with Applications
Lightweight contrastive summarization for news comment mining
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Aspect extraction through semi-supervised modeling
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Automatic labeling hierarchical topics
Proceedings of the 21st ACM international conference on Information and knowledge management
One theme in all views: modeling consensus topics in multiple contexts
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
TopRec: domain-specific recommendation through community topic mining in social network
Proceedings of the 22nd international conference on World Wide Web
Discovering coherent topics using general knowledge
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Automatic aggregation by joint modeling of aspects and values
Journal of Artificial Intelligence Research
What users care about: a framework for social content alignment
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Social reader: towards browsing the social web
Multimedia Tools and Applications
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Web 2.0 technology has enabled more and more people to freely express their opinions on the Web, making the Web an extremely valuable source for mining user opinions about all kinds of topics. In this paper we study how to automatically integrate opinions expressed in a well-written expert review with lots of opinions scattering in various sources such as blogspaces and forums. We formally define this new integration problem and propose to use semi-supervised topic models to solve the problem in a principled way. Experiments on integrating opinions about two quite different topics (a product and a political figure) show that the proposed method is effective for both topics and can generate useful aligned integrated opinion summaries. The proposed method is quite general. It can be used to integrate a well written review with opinions in an arbitrary text collection about any topic to potentially support many interesting applications in multiple domains.