Direction-based text interpretation as an information access refinement
Text-based intelligent systems
On the computation of point of view
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
PHOAKS: a system for sharing recommendations
Communications of the ACM
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Geospatial mapping and navigation of the web
Proceedings of the 10th international conference on World Wide Web
Vinci: a service-oriented architecture for rapid development of web applications
Proceedings of the 10th international conference on World Wide Web
Mining from open answers in questionnaire data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Template detection via data mining and its applications
Proceedings of the 11th international conference on World Wide Web
Learning Subjective Adjectives from Corpora
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Mining product reputations on the Web
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A new paradigm for ranking pages on the world wide web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Multi-resolution disambiguation of term occurrences
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
How to build a WebFountain: An architecture for very large-scale text analytics
IBM Systems Journal
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
The sentimental factor: improving review classification via human-provided information
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Affect analysis of text using fuzzy semantic typing
IEEE Transactions on Fuzzy Systems
Hot Item Mining and Summarization from Multiple Auction Web Sites
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Opinion mining of customer feedback data on the web
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Supporting Judgment of Fact Trustworthiness Considering Temporal and Sentimental Aspects
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Automatic Extraction for Product Feature Words from Comments on the Web
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Toward completeness in concept extraction and classification
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
Capturing the stars: predicting ratings for service and product reviews
SS '10 Proceedings of the NAACL HLT 2010 Workshop on Semantic Search
Mining comparative opinions from customer reviews for Competitive Intelligence
Decision Support Systems
Visual sentiment summarization of movie reviews
ICADL'11 Proceedings of the 13th international conference on Asia-pacific digital libraries: for cultural heritage, knowledge dissemination, and future creation
Extracting and summarizing hot item features across different auction web sites
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
Social media analysis determining the number of topic clusters from buzz marketing site
International Journal of Computational Science and Engineering
The 5w structure for sentiment summarization-visualization-tracking
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Sentiment analysis: what is the end user's requirement?
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
SumView: A Web-based engine for summarizing product reviews and customer opinions
Expert Systems with Applications: An International Journal
Classifying Consumer Comparison Opinions to Uncover Product Strengths and Weaknesses
International Journal of Intelligent Information Technologies
International Journal of Intelligent Information Technologies
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WebFountain is a platform for very large-scale text analytics applications that allows uniform access to a wide variety of sources. It enables the deployment of a variety of document-level and corpus-level miners in a scalable manner, and feeds information that drives end-user applications through a set of hosted Web services. Sentiment (or opinion) mining is one of the most useful analyses for various end-user applications, such as reputation management. Instead of classifying the sentiment of an entire document about a subject, our sentiment miner determines sentiment of each subject reference using natural language processing techniques. In this paper, we describe the fully functional system environment and the algorithms, and report the performance of the sentiment miner. The performance of the algorithms was verified on online product review articles, and more general documents including Web pages and news articles.