Misc (Rubin2011)
Rubin, T. N.; Chambers, A.; Smyth, P. & Steyvers, M.
Statistical Topic Models for Multi-Label Document Classification
2011

Article (carpena:035102)
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
Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), APS, 2009, 79, 035102

Inproceedings (conf/pakdd/HuangMFW09)
Huang, A.; Milne, D. N.; Frank, E. & Witten, I. H.
Theeramunkong, T.; Kijsirikul, B.; Cercone, N. & Ho, T. B. (ed.)
Clustering Documents Using a Wikipedia-Based Concept Representation.
Springer, 2009, 5476, 628-636

Book (UBMA_280507895)
Heyer, G.; Quasthoff, U. & Wittig, T.
Text Mining: Wissensrohstoff Text
W3L-Verl., 2008, XII, 348 S.

Book (Berendt2007)
Berendt, B.; Hotho, A.; Mladenic, D. & Semeraro, G. (ed.)
From Web to Social Web: Discovering and Deploying User and Content Profiles
Springer, 2007, 4736

Book (feldman2006mining)
Feldman, R. & Sanger, J.
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Cambridge University Press, 2007

Article (colas2006behavior)
Colas, F. & Brazdil, P.
On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks
Text, Speech and Dialogue, 2006, 45-52

Article (march06crane)
Crane, G.
What Do You Do with a Million Books?
D-Lib Magazine, 2006, 12

Article (hotho-etal-ldv-2005)
Hotho, A.; Nürnberger, A. & Paaß, G.
A Brief Survey of Text Mining
LDV Forum - GLDV Journal for Computational Linguistics and Language Technology, 2005, 20, 19-62

Book (0387954333)
Weiss, S. M.; Indurkhya, N. & Zhang, T.
Text Mining. Predictive Methods for Analyzing Unstructured Information
Springer, Berlin, 2004

Article (984322)
Zhai, C. & Lafferty, J.
A study of smoothing methods for language models applied to information retrieval
ACM Trans. Inf. Syst., ACM Press, 2004, 22, 179-214

Incollection (hotho03tm)
Hotho, A.; Maedche, A.; Staab, S. & Zacharias, V.
On Knowledgeable Unsupervised Text Mining
2003, 131-152

Inproceedings (conf/icdm/PopesculULP03)
Popescul, A.; Ungar, L. H.; Lawrence, S. & Pennock, D. M.
Statistical Relational Learning for Document Mining.
IEEE Computer Society, 2003, 275-282

Article (Sebastiani02)
Sebastiani, F.
Machine learning in automated text categorization
ACM Computing Surveys, 2002, 34, 1-47

Inproceedings (658040)
Hotho, A.; Maedche, A. & Staab, S.
Text Clustering Based on Good Aggregations
IEEE Computer Society, 2001, 607-608

Inproceedings (feldman95KDT)
Feldman, R. & Dagan, I.
Knowledge Discovery in Textual Databases (KDT)
1995, 112-117