Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A vector space model for automatic indexing
Communications of the ACM
Finding the flow in web site search
Communications of the ACM
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
WWW '03 Proceedings of the 12th international conference on World Wide Web
FaThumb: a facet-based interface for mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Assieme: finding and leveraging implicit references in a web search interface for programmers
Proceedings of the 20th annual ACM symposium on User interface software and technology
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
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PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Semi-supervised learning of attribute-value pairs from product descriptions
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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Advances in Artificial Intelligence
An evaluation of product review modalities for mobile phones
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Leveraging the crowd to improve feature-sentiment analysis of user reviews
Proceedings of the 2013 international conference on Intelligent user interfaces
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Smartphones are convenient, but their small screens make searching, clicking, and reading awkward. Thus, perusing product reviews on a smartphone is difficult. In response, we introduce RevMiner - a novel smartphone interface that utilizes Natural Language Processing techniques to analyze and navigate reviews. RevMiner was run over 300K Yelp restaurant reviews extracting attribute-value pairs, where attributes represent restaurant attributes such as sushi and service, and values represent opinions about the attributes such as fresh or fast. These pairs were aggregated and used to: 1) answer queries such as "cheap Indian food", 2) concisely present information about each restaurant, and 3) identify similar restaurants. Our user studies demonstrate that on a smartphone, participants preferred RevMiner's interface to tag clouds and color bars, and that they preferred RevMiner's results to Yelp's, particularly for conjunctive queries (e.g., "great food and huge portions"). Demonstrations of RevMiner are available at revminer.com.