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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Rubin, T. N., Chambers, A., Smyth, P. & Steyvers, M. Statistical Topic Models for Multi-Label Document Classification 2011   misc URL  
Carpena, P., Bernaola-Galván, P., Hackenberg, M., Coronado, A. V. & Oliver, J. L. Level statistics of words: Finding keywords in literary texts and symbolic sequences 2009 Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)   article DOIURL  
Huang, A., Milne, D. N., Frank, E. & Witten, I. H. Clustering Documents Using a Wikipedia-Based Concept Representation. 2009 PAKDD Theeramunkong, T.; Kijsirikul, B.; Cercone, N. & Ho, T. B. (ed.)
 
inproceedings URL  
Heyer, G., Quasthoff, U. & Wittig, T. Text Mining: Wissensrohstoff Text 2008   book URL  
From Web to Social Web: Discovering and Deploying User and Content Profiles 2007 Berendt, B.; Hotho, A.; Mladenic, D. & Semeraro, G. (ed.)
 
book URL  
Feldman, R. & Sanger, J. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data 2007   book URL  
Colas, F. & Brazdil, P. On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks 2006 Text, Speech and Dialogue   article URL  
Crane, G. What Do You Do with a Million Books? 2006 D-Lib Magazine   article DOIURL  
Weiss, S. M., Indurkhya, N. & Zhang, T. Text Mining. Predictive Methods for Analyzing Unstructured Information 2004   book URL  
Hotho, A., Maedche, A. & Staab, S. Text Clustering Based on Good Aggregations 2001 ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining   inproceedings URL  

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