Publication list on text mining

• Mori, S., Neubig, G., and Tsuboi, Y. "A Pointwise Approach to Automatic Word Segmentation" IPSJ Journal (in Japanese), Vol. 52, No. 10, pp.2944-2952, 2011. (paper)
• Kanayama, H., Nasukawa, T.: "Unsupervised Lexicon Induction for Clause-level Detection of Evaluations", Journal of Natural Language Engineering, vol. 18, no. 1, pp. 83--107, 2011. (paper)
• Kanayama, H., Nasukawa, T. and Watanabe, H., "A Sentiment Analysis Method using Tree Transfer Model", Journal of JSAI (in Japanese), 26-1D, pp. 273-283, 2011. [PDF]
• Hido, S., Tsuboi, Y., Kashima, H., Sugiyama, M. and Kanamori, K., Statistical Outlier Detection Using Direct Density Ratio Estimation, Knowledge and Information Systems, 2010. (paper)
• Takeuchi H., Subramaniam, L.V., Nasukawa, T. and Roy, S., "Getting insights from the voices of customers: Conversation mining at a contact center", Information Sciences, 179(11), pp.1584-1591, 2009.
• Tsuboi, Y., Kashima, H., Hido, S., Bickel, S. and Sugiyama, M., "Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation", Journal of Information Processing, Vol. 17, pp.138-155, 2009. (paper)
• Tsuboi, Y., Kashima, H., Mori, S., Oda, H. and Matsumoto, Y., "Training Conditional Random Fields Using Partial Annotations for the Domain Adaptation of Japanese Word Segmentation", IPSJ Journal (in Japanese), pp.1622-1635, 2009. [PDF]
• Nishiyama, R., Takeuchi, H., Watanabe, H. and Nasukawa, T., "Technology Survey Assistance Tool Focusing on Their Advantages", Transactions of the Japanese Society for Artificial Intelligence (in Japanese), Vol. 24, No. 6, pp. 541-548, DOI: 10.1527/tjsai.24.541, 2009. (paper)
• Takeuchi, H., Nasukawa, T. and Watanabe, H., "Mining of Business-Oriented Conversations at a Call Center", Journal of the Japan Society for Artificial Intelligence(in Japanese), 2008.
• Yoshida I., "A new model of algebraic constraints for representing multiple negations with one slack variable", Bulletin of Japan Society for Symbolic and Algebraic Computation, Vol.15, No.2, 2008.
• Takeuchi, H., Subramaniam, L.V., Roy, S., Punjani D., Nasukawa, T., "Sentence boundary detection in conversational speech transcripts using noisily labeled examples", International Journal Document Analysis and Recognition (online), November, 2007.
• Inokuchi, A., Takeda, K., Inaoka, N., and Wakao, F., "Interactive knowledge discovery for clinical decision intelligence," IBM Systems Journal, Vol. 46, No. 1, 2007.
• Inokuchi, A. and Takeda, K., "An OLAP systems for text analytics", IPSJ Journal: Database, Vol. 48, No. 11 (in Japanese), pp. 58-68, 2006.
• Kobayashi, M. and Aono, M., "Exploring overlapping clusters using dynamic rescaling and sampling", Knowledge and Information Systems (KAIS), 10(3): pp. 295-313, 2006.
• Kudo, M., Araki, Y., Nomiyama, H., Saitoh, S., Sohda, Y., "Best Practice and Tools for Personal Information Compliance Management," IBM Systems Journal, 2006.
• Aono, M. and Kobayashi, M., "Web community mining" (invited paper), Bulletin of Japan SIAM, Vol.15, No.1 (in Japanese), pp.53-57, 2005.
• Uramoto, N., Matsuzawa, H., Nagano, T., Murakami, A., Takeuchi, H. and Takeda, K., "A text-mining system for knowledge discovery from biomedical documents", IBM Systems Journal, Vol.43, No.3, pp.516-533, 2004. (paper)
• Takeda, K., Watanabe, H., Uramoto, N., Nomiyama, H., Matsuzawa, H., Nasukawa, T., Nagano, T., Murakami, A., Takeuchi, H., Kanayama, H., Kobayashi, M., Aono, M., Inokuchi, A. and Houle, M., "Unstructured information management projects at IBM Tokyo Research Laboratory", Korea Information Processing Society Review, Vol.11, No.2, pp.4-16, 2004.
• Kobayashi, M., Aono, M., Samukawa, H. and Takeuchi, H., "Matrix computations for information retrieval and major and outlier cluster detection" (invited paper), Journal of Computational and Applied Mathematics, Vol.149, No.1, pp.119-129, 2002.
• Nasukawa, T. and Nagano, T., "Text analysis and knowledge mining system", IBM Systems Journal, Vol.40, No.4, pp.967-984, 2001. (paper)
• Nasukawa, T., Kawano, H. and Arimura, H., "Base technology for text mining", Journal of Japanese Society for Artificial Intelligence, Vol.16, No.2, pp.201-211, 2001.
• Nasukawa, T., "Text mining application for call centers", Journal of Japanese Society for Artificial Intelligence, Vol.16, No.2, pp.219-225, 2001.
• Kobayashi, M., Dupret, G., King, O. and Samukawa, H., "Estimation of singular values of very large matrices using random sampling", Computers and Mathematics with Applications, Vol.42, pp.1331-1352, 2001.
• Kobayashi, M. and Takeda, K., "Information retrieval on the Web, ACM Computing Surveys", Vol.32, No.2, pp.144-173, 2000.
• Nasukawa, T., Morohashi, M. and Nagano, T., "Text mining - discovering knowledge in vast amounts of textual data -", IPSJ Magazine, Vol.40, No.4 (comprehensive paper), pp.358-364, 1999.

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• Tsuboi, Y., Unno, Y., Kashima, H., and Okazaki, N., "Fast Newton-CG Method for Batch Learning of Conditional Random Fields", 25th AAAI Conference on Artificial Intelligence (AAAI), 2011.
• Tsuboi, Y., Kanayama, H., Ohno, M. and Unno, Y.: "Syntactic difference based approach for NTCIR-9 RITE task", In Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies, pp. 401--411, December 2011.
• Shima, H., Kanayama, H., Lee, C. W., Lin C. J., Mitamura, T., Miyao, Y., Shi, S., Takeda, K.: "Overview of NTCIR-9 RITE: Recognizing Inference in TExt", In Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies, pp. 291--301, December 2011.
• Murakami, A. and Raymond, R., "Support or Oppose? Detecting Positions in Online Debates from Reply Activities and Opinion Expressions", International Conference on Computational Linguistics (COLING), Poster, 2010. [PDF]
• Andrade, D., Nasukawa, T., and Tsujii, J., "Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs", International Conference on Computational Linguistics (COLING), 2010. [PDF]
• Kashima, H., Hido, S., Tsuboi, Y., Tajima, A., Ueno, T., Shibata, N., Sakata, I. and Watanabe, T., "Predictive Modeling of Patent Quality by Using Text Mining", In Proc. of International Conference on Management of Technology (IAMOT), 2010.
• Nishiyama, R., Tsuboi, Y., Unno, Y. and Takeuchi, H., "Feature-Rich Information Extraction for the Technical Trend-Map Creation", In Proc. of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access, 2010.
• Raymond, R., Tsuboi Y., Kashima H., and Sato, I.; "Proximity in Large Bipartite Graphs with Unsupervised Auxiliary Information", the 2nd Asian Conference on Machine Learning (ACML2010), 2010, Poster.
• Tsuboi, Y. and Kashima, H., "A New Objective Function for Sequence Labeling", International Conference on Pattern Recognition (ICPR), 2008.
• Tsuboi, Y., Kashima, H., Hido, S., Bickel, S. and Sugiyama, M., "Direct density ratio estimation for large-scale covariate shift adaptation", SIAM International Conference on Data Mining (SDM), 2008. [PDF]
• Tsuboi, Y., Kashima, H., Mori, S., Oda, H. and Matsumoto, Y., "Training Conditional Random Fields Using Incomplete Annotations", 22nd International Conference on Computational Linguistics (COLING), 2008. [PDF]
• Kanayama, H. and Nasukawa, T., "Textual Demand Analysis: Detection of Users' Wants and Needs from Opinions", 22nd International Conference on Computational Linguistics (COLING), pp.409-416, 2008. [PDF]
• Shirata, Y., Ogino, S. and Takeuchi, H., "Text Mining for Annual Financial Reports", 20th Asian Pacific Conference on International Accounting Issues, 2008.
• Teraguchi, M., Yoshida, I., and Uramoto, N., "Rule-based XML Mediation for Data Validation and Privacy Anonymization," IEEE International Conference on Services Computing Vol. 2, pp.21-28, 2008.
• Takeuchi, H., Ogino, S., Watanabe, H. and Shirata, Y., "Context-Based Text Mining for Insights in Long Documents," 7th International Conference on Practical Aspects of Knowledge Management (PAKM2008), 2008.
• Nishiyama, R., Takeuchi, H., Nasukawa, T. and Watanabe, H., "Extracting Advantage Phrases that Hint at a New Technology’s Potentials," The 7th International Conference on Practical Aspects of Knowledge Management (PAKM2008) (LNAI 5345), pp. 98-110, DOI: 10.1007/978-3-540-89447-6_11, 2008. (paper)
• Takeuchi, H., Subramaniam, L.V., Nasukawa, T. and Roy, S., "Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers," Empirical Methods in Natural Language Processing (EMNLP), 2007. [PDF]
• Nasukawa, T., Punjani D., Roy, S., Subramaniam, L.V. and Takeuchi, H., "Adding Sentence Boundaries to Conversational Speech Transcriptions using Noisily Labeled Examples," IJCAI-2007 Workshop on Analytics for Noisy Unstructured Text Data, 2007.
• Murakami, A., Nasukawa, T., Nakamura, F., Takeuchi, H., Nishiyama, R., Veisberg, P. and Watanabe H., "Innovation Jam: Analysis of Online Discussion Records using Text Mining Technology," International Workshop on Intercultural Collaboration, 2007.
• Ikawa, Y. and Kanayama, H., "A New Document Masking Approach for Removing Confidential Information," IEEE CEC/EEE, 2007.
• Takeuchi, H., Subramaniam, L.V., Nasukawa, T. and Roy, S., "A Conversation-Mining System for Gathering Insights to Improve Agent Productivity,", IEEE CEC/EEE, 2007.
• Nishiyama R., Takeuchi, H. and Watanabe, H., "Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents," The 10th International Conference on Discovery Science (DS2007) (LNAI 4755), pp. 270-274, DOI: 10.1007/978-3-540-75488-6_28, 2007.
• Takeuchi, H., Yoshida, I, Ikawa, Y., Iida, K. and Fukui, Y., "Detecting Invalid Dictionary Entries for Biomedical Text Mining", KDLL2006, pp.112-122, April 2006.
• Takeuchi, H., Yoshida, I., Ikawa, Y., Iida, K., Fukui, Y., "Detecting Invalid Dictionary Entries for Biomedical Text Mining", Workshop on Knowledge Discovery in Life Science Literature (KDLL), 2006.
• Kanayama, H. and Nasukawa, T., "Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis" , Empirical Methods in Natural Language Processing (EMNLP), pp. 355-363, July 2006. [PDF]
• Kobayashi, M., "Changepoint identification in real-world data using wavelets", Scientific Engineering Computation and Analysis (SciCADE), Nagoya, Japan, p.51, 2005.
• Kashima, H. and Tsuboi, Y., "Kernel-based discriminative learning algorithms for labeling sequences, trees and graphs", International Conference on Machine Learning (ICML), 2004.
• Murakami, A. and Nasukawa, T., "Term aggregation: mining synonymous expressions using personal stylistic variations", International Conference on Computational Linguistics (COLING), 2004. [PDF]
• Kanayama, H., Nasukawa, T. and Watanabe, H., "Deeper sentiment analysis using machine translation technology", International Conference on Computational Linguistics (COLING), pp.494-500, 2004. [PDF]
• Kobayashi, M., "Wavelets, FFTs and histograms in data stream mining", Australia-New Zealand Industrial and Applied Mathematics (ANZIAM), Hobart, Tasmania, Australia, 2004.
• Kobayashi, M., "Data Stream Mining - selected tools & algorithms", Numerical Analysis & Numerically Intensive Techniques (NANIT), Kyoto University Research Institute for Mathematical Sciences (RIMS), Kokyu Roku, No.1362, pp.124-132, 2004.
• Yi, J., Nasukawa, T., Bunescu, R. and Niblack, W., "Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques", International Conference on Data Mining, pp.427-434, 2003.
• Nasukawa, T. and Yi, J., "Sentiment analysis: capturing favorability using natural language processing", International Conference on Knowledge Capture, pp.70-77, 2003. (paper)
• Houle, M., "Navigating massive data sets via local clustering", ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD), Washington DC, USA, pp.547-552, 2003.
• Morimoto, Y., Aono, M., Houle, M. and McCurley, K., "Extracting spatial knowledge from the web", International Symposium on Applications and the Internet (SAINT), Orlando, Florida, USA, pp.326-333, 2003.
• Kobayashi, M. and Aono, M., "Covariance matrix analysis for mining major and minor clusters", International Congress on Industrial and Applied Mathematics (ICIAM), Sydney, Australia, 2003.
• Kobayashi, M. and Aono, M., "Exploring major and minor clusters in massive databases" (Invited Talk), Kyoto University Research Institute for Mathematical Sciences (RIMS) Kokyu Roku, No.1320: The Numerical Solution of Differential Equations and Linear Computation, pp.250-260, 2003.
• Kobayashi, M. and Aono, M., "Exploring major and minor clusters in massive databases" (Invited Talk), Minisymposium No.2288 on Analyzing and Visualizing Data Mountains, International Congress on Industrial and Applied Mathematics (ICIAM), Sydney, Australia, 2003.
• Kobayashi, M., Aono, M. and Houle, M., "Mining overlapping major and minor clusters in massive databases" (Invited Talk), Special Technologies Workshop \# 6 on Industry Day, International Congress on Industrial and Applied Mathematics (ICIAM), Sydney, Australia, 2003.
• Kobayashi, M. and Aono, M., "Major and outlier cluster analysis using dynamic re-scaling of document vectors", SIAM Text Mining Workshop, Crystal City, VA, USA, pp.103-113, 2002.
• Kobayashi, M. and Aono, M., "ClusterScope: an information retrieval and cluster analysis tool for massive databases", Engineering Maths and Applications Conference (EMAC), Brisbane, Australia, pp.145-150, 2002.
• Takeda, K., Nomiyama, H., Nasukawa, T., Kobayashi, M., Sakairi, T., Matsuzawa, H., Nagano, T., Murakami, A. and Takeuchi, H., "Text mining and site outlining projects", NLPRS Exhibition and Demonstrations of NLP technologies, 2001.
• Murakami, A., Takeda, K. and Nagao, K., "Discussion mining: knowledge discovery from online discussion records", NLPRS Workshop XML and NLP, 2001.
• Nagano, T., Takeda, K. and Nasukawa, T., "Knowledge discovery using robust natural language processing", Pacific Association for Computational Linguistics (PACLING), pp.189-198, 2001.
• Kobayashi, M., Aono, M., Samukawa, H. and Takeuchi, H., "Matrix computations for detecting and visualizing outlier clusters", International Conference on Numerical Analysis and Applications, World Scientific Engineering Society, 2001.
• Kobayashi, M., Aono, M., Takeuchi, H. and Samukawa, H., "Matrix computations for information retrieval and major and outlier cluster detection" (Invited Keynote Talk), 15th Toyota Conference on Scientific and Engineering Computations for the 21st Century, Mikabi, Japan, 2001.
• Hurst, M. and Nasukawa, T., "Layout and language: integrating spatial and linguistic knowledge for layout understanding tasks", The 18th International Conference on Computational Linguistics (COLING), 2000.
• Matsuzawa, H. and Fukuda, T., "Mining structured association patterns from databases", Pacific and Asia International Conference on Knowledge Discovery and DataMining (PAKDD), 2000.
• Kobayashi, M., Takeda, K., King, O. and Dupret, G., "Multi-perspective retrieval, ranking and visualization of Web data", International Symposium on Digital Libraries (ISDL), Tsukuba, Japan, pp.159-162, 1999.

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• Tsuboi, Y., Unno, Y., Kashima, H., and Okazaki, N., "Newton-CG method for Batch Learning of Conditional Random Fields", 17th Annual Meeting of the Association of Natural Language Processing (in Japanese), No. C1-4, 2011.
• Unno, Y. and Tsuboi, Y., "A Domain-aware Input Assist Method", 17th Annual Meeting of the Association of Natural Language Processing (in Japanese), No. C5-4, 2011.
• Raymond, R., Tsuboi, Y., Nasukawa, T., and Zhang, Y., "Finding Cross-Lingual Related Words by Random Walk on Bipartite Graphs", 17th Annual Meeting of the Association of Natural Language Processing, No. D4-3, 2011.
• Kanayama, H., Ogino, S., "Rewriting Pattern Extraction using Wikipedia Histories", 17th Annual Meeting of the Association of Natural Language Processing (in Japanese), No. A1-3, 2011.
• Unno, Y. and Tsuboi, Y., "A Fast Extraction Method of a Set of Compact Contexts for String Search Results", The 5th NLP Symposium for Young Researchers, No. 7 (in Japanese), 2010. [PDF]
• Nishiyama, R. and Takeuchi, H., "Extracting Problem-Advantage Pairs from Patent Disclosures", The 24th Annual Conference of the Japanese Society for Artificial Intelligence (in Japanese), No. 2J2-NFC2-5, 2010. [PDF]
• Unno, Y. and Nasukawa, T., "Cross-lingual Text Mining", The 24th Annual Conference of the Japanese Society for Artificial Intelligence (in Japanese), No. 3A4-1, 2010. [PDF]
• Murakami, A. and Raymond, R "Mining Opinions from Textual Contents and Reply Activities in Online Debates" The 24th Annual Conference of the Japanese Society for Artificial Intelligence (in Japanese), No. 3A4-3, 2010. [PDF]
• Yoshida, I., "On the number of slack variables used in representation of semi-algebraic sets", Developments in Computer Algebra Research 2010 (in Japanese), 2010.
• Nishiyama, R., "Technical Issue Extraction from Patent Disclosure", 16th Annual Meeting of the Association of Natural Language Processing (in Japanese), 2010. [PDF]
• Unno, Y. and Tsuboi, Y., "Distance Metric Based on Dependency Marginal Probabilities", 16th Annual Meeting of the Association of Natural Language Processing (in Japanese), 2010. [PDF]
• Akimoto, H., Ikawa, Y. and Kanayama, H., "Distance Metric Based on Dependency Marginal Probabilities", 16th Annual Meeting of the Association of Natural Language Processing (in Japanese), 2010. [PDF]
• Nasukawa, T., Unno, Y. and Murakami, A., "Onomatopoeia in Japanese and English Corpora Describing Hardware Troubles", 16th Annual Meeting of the Association of Natural Language Processing (in Japanese), 2010. [PDF]
• Ogino, S., Takeuchi, H. and Nakada, T., "Applying Natural Language Processing Technique in Analyzing Development-related Documents", 15th Annual Meeting of the Association of Natural Language Processing (in Japanese), 2009.
• Nasukawa, T., Andrade, D., Unno, Y., Muramatsu, Y., and Yamamoto, K., "Identification of Translations for Cross-Lingual Text Mining", 15th Annual Meeting of the Association of Natural Language Processing (in Japanese), pp.108-111, 2009. [PDF]
• Ikawa, Y., Kanayama, H., Takeuchi, H., Watanabe, H., Mishina, T., Akimoto H. and Shimizu, J., "Implementation and Evaluation of Translation-Assistance Tool for Office Documents", 23rd Annual Conference of JSAI (in Japanese), 2009
• Takuma, D., "Searching Top-k Most Frequent Dependency Patterns", 23rd Annual Conference of JSAI (in Japanese), 2009.
• Takuma, D., "Perfect Synchronization of Tagging and Index Search", 23rd Annual Conference of JSAI(in Japanese), 2009.
• Murakami, A., Nasukawa, T. and Nakagawa, H., "Detecting Important Messages from Online Discussion Records", The 14th Annual Meeting of The Association for NLP (in Japanese), 2008.
• Kanayama, H. and Nasukawa, T., "Detecting Targets of Demands", The 14th Annual Meeting of The Association for NLP (in Japanese), 2008.
• Murakami, A. and Nakamura, T., "Trouble Prediction using Surface Expressions in Project Progress Report", The 22nd Annual Conference of the JSAI (in Japanese), No. 3B1-02 (online), 2008.
• Nishiyama, R., Takeuchi, H., Watanabe, H., Nasukawa, T. and Takeda, K., "Advantage Phrase Extraction for Mining Technical Documents"， The 22nd Annual Conference of the JSAI (in Japanese), No. 3K3-02 (online), 2008. [PDF]
• Takeuchi, H., Ogino, S., Watanabe, H. and Shirata, Y., "Financial Analysis using Text Mining Technique", 25th Annual Conference of the Japan Business Analysis Association(in Japanese), 2008.
• Takeuchi, H., Ogino, S., Watanabe, H. and Shirata, Y., "Analysis of Bankrupt Companies Using Text Mining", Annual Conference of the Japan Society for Management Information(in Japanese), 2008.
• Takeuchi, H., Ogino, S., Watanabe, H. and Shirata, Y., "Text Mining Method Using Context Information and Its Application to Annual Report Analysis", 22nd Annual Conference of the Japan Society for Artificial Intelligence(in Japanese), 2008.
• Takeuchi, H., Nasukawa T. and Watanabe H., "Automatic Identification of Viewpoints and Expressions for Mining of Business-Oriented Conversations," The 21st Annual Conference of JSAI (in Japanese), June, 2007.
• Nasukawa, T., Takuma D., Takeuchi, H. and Ogino, S., "Conversation Mining in Call Center," The 13th Annual Meeting of The Association for NLP (in Japanese), March, 2007.
• Nishiyama R., Takeuchi, H., Watanabe H., Nasukawa, T., Maeda J., Kuramochi, and Hayashiguchi, "Text Mining of Technical Documents for Projecting Future Technologies," The 21st Annual Conference of JSAI (in Japanese), No. 2H5-3, 2007.
• Takeuchi, H., Nasukawa, T. and Watanabe H., "Automatic Identification of Viewpoints and Expressions for Mining of Business-Oriented Conversations", The 21st Annual Conference of JSAI (in Japanese), 2H4-4, 2007.
• Tsuboi, Y., Kashima, H., Mori, S., Oda, H., and Matsumoto, Y., "Training Conditional Random Fields using Partial and Ambiguous Structured Labels", IPSJ-SIGNL (in Japanese), 2007.
• Ikawa, Y., Takuma, D. and Kanayama, H., "A Masking System for Confidential Documents by Unmasking Safe Words", IPSJ SIG Technical Report, 2006-DBS-140 (in Japanese), July 2006.
• Murakami, A. and Watanabe, H., "Compound Noun Recognition referring to Chronological Fluctuation of Occurrence", IPSJ SIG-NL-172 (in Japanese), pp.1-8, 2006.
• Ikawa, Y., Takuma, D. and Kanayama, H., "A Masking System for Confidential Documents by Unmasking Safe Words", IPSJ SIG-DBS-140(II) (in Japanese), pp.421-428, 2006.
• Kanayama, H. and Nasukawa, T., "Extracting and grouping of request expressions", The 11th Annual Meeting of The Association for NLP (in Japanese), pp.660-663, 2005.
• Kanayama, H., "Statistical Parsing without Commas", IPSJ SIGNL-170 (in Japanese), pp.61-66, 2005.
• Ikawa, Y. and Sadakane, K., "A Method for Improving the Ranking Results of Local-Web Search-Engines using HotLink Analysis", Data Engineering Workshop (in Japanese), 1C-o2, 2005.
• Nasukawa, T., Kanayama, H., Tsuboi, Y. and Watanabe, H., "Natural language processing by using favorable/unfavorable context", The 11th Annual Meeting of The Association for NLP (in Japanese), pp.153-156, 2005.
• Takuma, D. and Nomiyama, H., "Early problem detection using text data", IPSJ SIG-NL-162 (in Japanese), pp.19-26, 2004.
• Murakami, A. and Nasukawa, T., "Mining synonymous expressions using personal stylistic variations", IPSJ SIG-NL-162 (in Japanese), pp.117-124, 2004.
• Nasukawa, T. and Kanayama, H., "Acquisition of sentiment lexicon by using context coherence", IPSJ SIG-NL-162 (in Japanese), pp.109-116, 2004.
• Kanayama, H., "Partial correction of statistical Japanese syntactic parser", IPSJ SIGNL-160 (in Japanese), pp.1-8, 2004.
• Tsuboi, Y., "Mining Frequent Substrings", SIG-NL-158 (in Japanese), 2003.
• Aono, M., Houle, M., Kobayashi, M. and Takeda, K., "Comparison of similarity search technologies using vector space models and scalable clustering methods", Information Processing Society of Japan (IPSJ) SIG Workshop on Fundamental Infology (in Japanese), 2003.
• Matsuzawa, H., Nagano, T., Murakami, A., Takeuchi, H., Takeda, K. and Kanda, Y., "MedTAKMI : a text mining system for databases of bio-medical document", The 3rd Workshop on Data Mining, JSSST SIG Data Mining (in Japanese), 2002.
• Murakami, A. and Takeda, K., "E-mail mining", Forum on Information Technology (in English), 2002.
• Nagano, T., "Extracting sentimental expressions from text", The 30th Annual Meeting of Behaviormetric Society of Japan (in Japanese), pp.30-31, 2002.
• Murakami, A. and Takeda, K., "E-mail mining", The 30th Annual Meeting of Behaviormetric Society of Japan (in Japanese), pp.32-35, 2002.
• Murakami, A. and Nasukawa, T., "Synonym extraction using personal stylistic variations", The 8th Annual Meeting of The Association for NLP (in Japanese), 2002.
• Aono, M. and Kobayashi, M., "Information retrieval and visualization massive database using dimensional reduction based on vector space model", Information Processing Society of Japan (IPSJ) SIG Notes on Distributed Processing Systems, Abstract No 108-014, (in Japanese), pp.79-84, 2002.
• Takeuchi, H., Kobayashi, M., Aono, M. and Samukawa, H., "An information retrieval system using principal component analysis", Information Processing Society of Japan (IPSJ), SIG Notes, FI66, pp.87-93, 2002.
• Yamashita, Y., Kobayashi, M. and Aono, M., "Detecting and tracking the evolution of events", IPSJ SIG Workshop on Fundamental Infology (in Japanese), 2002.
• Murakami, A., "Synonym extraction from specific domain corpus using dependency information", IPSJ 61th Annual Convention (in Japanese), 2000.
• Murakami, A. and Nagao, K., "Discussion mining: knowledge discovery from online discussion records", The 6th Annual Meeting of The Association for NLP (in Japanese), pp.451-454, 2000.
• Matsuzawa, H. and Fukuda, T., "Mining structured association patterns from databases", Advanced Database Symposium (in Japanese), pp.151-160, 1999.
• Murakami, A. and Nagao, K., "Structure of online discussion based on quotations", NLP Symposium (in Japanese), 1999.
• Matsuzawa, H., "Mining frequent structured patterns from databases. -- Mining frequent similar sentences from text database -- ", NLP Symposium (in Japanese), 1999.
• Nagano, T., "Information extraction for text mining", NLP Symposium (in Japanese), 1999.
• Nasukawa, T., Nagano, T. and Takeda, K., "Knowledge mining from huge amounts of text data", IPSJ SIG-ICS (in Japanese), 1999.
• Takeda, K., "Text mining for knowledge management", IPSJ 59th Annual Convention, pp.2-381-382 (in Japanese), 1999.
• Nasukawa, T. and Nagano, T., "TAKMI: Text Analysis and Knowledge Mining", IPSJ 59th Annual Convention, pp.2-383-384 (in Japanese), 1999.
• Nagano, T., "Information extraction of text mining", IPSJ 59th Annual Convention, pp.2-385-386 (in Japanese), 1999.
• Nagano, T., Morohashi, M. and Nasukawa, T., "Information Extraction for Text Mining", 13th JSAI Annual Convention (in Japanese), pp.411-412, 1999.
• Kobayashi, M., Dupret, G. and King, O., "Linear algebra methods for text mining", Information Processing Society of Japan (IPSJ), Fall Meeting, Morioka, Japan, 1999.
• Nasukawa, T., Morohashi, M. and Nagano, T., "Text mining: knowledge acquisition from voluminous data with texts ---framework---", IPSJ 57th Annual Convention (in Japanese), 1998.
• Morohashi, M., Nasukawa, T. and Nagano, T., "Text mining: knowledge acquisition from voluminous data with texts ---acquisition of intentions---", IPSJ 57th Annual Convention (in Japanese), 1998.
• Nasukawa, T., "Text mining: technology for a strategic use of voluminous text databases", 12th Annual Conference of JSAI (in Japanese), 1998.

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• Wei-Dong (Jackie) Zhu, Asako Iwai, Todd Leyba, Josemina Magdalen, Kristin McNeil, Tetsuya Nasukawa, Nitaben (Nita) Patel, and Kei Sugano "IBM Content Analytics Version 2.2: Discovering Actionable Insight from Your Content", ISBN: 0738435287, May 2011
• Feldman, R. and Sanger, J., Translated by the Text Mining Handbook Translation Team in IBM Research - Tokyo, under supervision of Tsujii, J.: "The Text Mining Handbook", ISBN:978-4-501-54810-0, Tokyo Denki University Press (in Japanese), 2010.
• Inokuchi, A., Level-wise Search Approach of Graph Mining, Encyclopedia of Machine Learning, Springer, 2006.
• Nasukawa, T. "Techniques for Using/Developing Text Mining", ISBN: 978-4-501-54220-7, Tokyo Denki University Press (in Japanese), 2006.
• Itakura, M., Murakami, A. et al. "Technologies for Chance Discovery -Supporting Decisions in Data Mining Era- ", ISBN978-4-501-53640-4, Tokyo Denki University Press (in Japanese), 2003.

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