Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
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
Movie review mining and summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Visual interfaces to the social and the semantic web (VISSW 2009)
Proceedings of the 14th international conference on Intelligent user interfaces
IEEE Symposium on Visual Analytics Science and Technology 2007
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Joint sentiment/topic model for sentiment analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Interactive, topic-based visual text summarization and analysis
Proceedings of the 18th ACM conference on Information and knowledge management
User-directed sentiment analysis: visualizing the affective content of documents
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
TIARA: a visual exploratory text analytic system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Pulse: mining customer opinions from free text
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
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Sentiment plays a critical role in many information-centric business scenarios. The opinion mining methods proposed in the recent decade have formed a solid foundation to investigate the sentiment analysis tasks, but are often too complicated and scattered to serve the needs of real customers. We introduce the VISA system in this paper, which applies the visualization technology to synthesize the sentiment analysis results and present to the end user in an interactive manner. VISA builds on the generic sentiment tuple based data model and consumes the different facets of sentiment data with coordinated multiple views, hence is scalable to work with most of existing sentiment analysis engines on various application domains. We showcase the usage of VISA in a real world example and demonstrate the system's effectiveness through the user trail in finding an appropriate hotel for his family trip.