Rubin, T. N.; Chambers, A.; Smyth, P. & Steyvers, M. (2011), 'Statistical Topic Models for Multi-Label Document Classification' , cite arxiv:1107.2462 .
Carpena, P.; Bernaola-Galván, P.; Hackenberg, M.; Coronado, A. V. & Oliver, J. L. (2009), 'Level statistics of words: Finding keywords in literary texts and symbolic sequences', Physical Review E (Statistical, Nonlinear, and Soft Matter Physics) 79 , 035102 .
Huang, A.; Milne, D. N.; Frank, E. & Witten, I. H. (2009), Clustering Documents Using a Wikipedia-Based Concept Representation., in Thanaruk Theeramunkong; Boonserm Kijsirikul; Nick Cercone & Tu Bao Ho, ed., 'PAKDD' , Springer, , pp. 628-636 .
Heyer, G.; Quasthoff, U. & Wittig, T. (2008), Text Mining: Wissensrohstoff Text , W3L-Verl. , Herdecke ; Bochum .
Berendt, B.; Hotho, A.; Mladenic, D. & Semeraro, G., ed. (2007), From Web to Social Web: Discovering and Deploying User and Content Profiles , Vol. 4736 , Springer .
Feldman, R. & Sanger, J. (2007), The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data , Cambridge University Press .
Colas, F. & Brazdil, P. (2006), 'On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks', Text, Speech and Dialogue , 45--52 .
Crane, G. (2006), 'What Do You Do with a Million Books?', D-Lib Magazine 12 .
Hotho, A.; Nürnberger, A. & Paaß, G. (2005), ' A Brief Survey of Text Mining', LDV Forum - GLDV Journal for Computational Linguistics and Language Technology 20 , 19-62 .
Weiss, S. M.; Indurkhya, N. & Zhang, T. (2004), Text Mining. Predictive Methods for Analyzing Unstructured Information , Springer, Berlin .
Zhai, C. & Lafferty, J. (2004), 'A study of smoothing methods for language models applied to information retrieval', ACM Trans. Inf. Syst. 22 , 179--214 .
Hotho, A.; Maedche, A.; Staab, S. & Zacharias, V. (2003), On Knowledgeable Unsupervised Text Mining 'Text Mining' , pp. 131-152 .
Popescul, A.; Ungar, L. H.; Lawrence, S. & Pennock, D. M. (2003), Statistical Relational Learning for Document Mining., in 'ICDM' , IEEE Computer Society, , pp. 275-282 .
Sebastiani, F. (2002), 'Machine learning in automated text categorization', ACM Computing Surveys 34 , 1--47 .
Hotho, A.; Maedche, A. & Staab, S. (2001), Text Clustering Based on Good Aggregations, in 'ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining' , IEEE Computer Society, Washington, DC, USA , pp. 607--608 .
Feldman, R. & Dagan, I. (1995), Knowledge Discovery in Textual Databases (KDT), in 'Proc. of the First Int. Conf. on Knowledge Discovery (KDD)' , pp. 112-117 .