Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Communications of the ACM
Text-Learning and Related Intelligent Agents: A Survey
IEEE Intelligent Systems
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
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Differentiating data- and text-mining terminology
SAICSIT '03 Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
Experimental study of discovering essential information from customer inquiry
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
The integration of business intelligence and knowledge management
IBM Systems Journal
Knowledge portals and the emerging digital knowledge workplace
IBM Systems Journal
The Talent system: TEXTRACT architecture and data model
Natural Language Engineering
A text-mining system for knowledge discovery from biomedical documents
IBM Systems Journal
Extracting statistical data frames from text
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
The talent system: TEXTRACT architecture and data model
SEALTS '03 Proceedings of the HLT-NAACL 2003 workshop on Software engineering and architecture of language technology systems - Volume 8
Deeper sentiment analysis using machine translation technology
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Term aggregation: mining synonymous expressions using personal stylistic variations
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Knowledge flow network planning and simulation
Decision Support Systems
MedTAKMI-CDI: interactive knowledge discovery for clinical decision intelligence
IBM Systems Journal
A method for online analytical processing of text data
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A support system for predicting eBay end prices
Decision Support Systems
Prototypical case mining from biomedical literature for bootstrapping a case base
Applied Intelligence
A new algorithm for term weighting in text summarization process
AIC'06 Proceedings of the 6th WSEAS International Conference on Applied Informatics and Communications
Identification of class specific discourse patterns
Proceedings of the 17th ACM conference on Information and knowledge management
Context-Based Text Mining for Insights in Long Documents
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Getting insights from the voices of customers: Conversation mining at a contact center
Information Sciences: an International Journal
Knowledge Extraction and Analysis on Collaborative Interaction
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
A design rationale representation model using patent documents
Proceedings of the 2nd international workshop on Patent information retrieval
Concept mining for indexing medical literature
Engineering Applications of Artificial Intelligence
Using text classification and multiple concepts to answer e-mails
Expert Systems with Applications: An International Journal
Reconstruction of protein-protein interaction pathways by mining subject-verb-objects intermediates
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Ontology based knowledge extraction for shipyard fabrication workshop reports
Expert Systems with Applications: An International Journal
Customer-focused service management for contact centers
IBM Journal of Research and Development
Detecting invalid dictionary entries for biomedical text mining
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
Expert Systems with Applications: An International Journal
Tag co-occurrence analysis using the association data mining rule
Proceedings of the 2012 iConference
Concept mining for indexing medical literature
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Named relationship mining from medical literature
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Constructing a dental implant ontology for domain specific clustering and life span analysis
Advanced Engineering Informatics
A Knowledge Mining Approach for Effective Customer Relationship Management
International Journal of Knowledge-Based Organizations
Knowledge discovery in inspection reports of marine structures
Expert Systems with Applications: An International Journal
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Large text databases potentially contain a great wealth of knowledge. However, text represents factual information (and information about the author's communicative intentions) in a complex, rich, and opaque manner. Consequently, unlike numerical and fixed field data, it cannot be analyzed by standard statistical data mining methods. Relying on human analysis results in either huge workloads or the analysis of only a tiny fraction of the database. We are working on text mining technology to extract knowledge from very large amounts of textual data. Unlike information retrieval technology that allows a user to select documents that meet the user's requirements and interests, or document clustering technology that organizes documents, we focus on finding valuable patterns and rules in text that indicate trends and significant features about specific topics. By applying our prototype system named TAKMI (Text Analysis and Knowledge Mining) to textual databases in PC help centers, we can automatically detect product failures; determine issues that have led to rapid increases in the number of calls and their underlying reasons; and analyze help center productivity and changes in customers' behavior involving a particular product, without reading any of the text. We have verified that our framework is also effective for other data such as patent documents.