A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Efficiently linking text documents with relevant structured information
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Collective entity resolution in relational data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Eliminating fuzzy duplicates in data warehouses
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Statistical Language Models for Information Retrieval A Critical Review
Foundations and Trends in Information Retrieval
Foundations and Trends in Databases
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Topic identification for fine-grained opinion analysis
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
For a few dollars less: identifying review pages sans human labels
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Collecting evaluative expressions for opinion extraction
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Matching unstructured product offers to structured product specifications
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Object matching in tweets with spatial models
Proceedings of the fifth ACM international conference on Web search and data mining
Building reputation and trust using federated search and opinion mining
Proceedings of the 21st international conference companion on World Wide Web
Associating structured records to text documents
Proceedings of the 21st international conference companion on World Wide Web
Building reputation and trust using federated search and opinion mining
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Linking named entities to any database
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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We develop a general method to match unstructured text reviews to a structured list of objects. For this, we propose a language model for generating reviews that incorporates a description of objects and a generic review language model. This mixture model gives us a principled method to find, given a review, the object most likely to be the topic of the review. Extensive experiments and analysis on reviews from Yelp show that our language model-based method vastly outperforms traditional tf-idf-based methods.