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
Book (0387954333)
Weiss, S. M.; Indurkhya, N. & Zhang, T.
Text Mining. Predictive Methods for Analyzing Unstructured Information
Springer, Berlin,
2004
Inproceedings (658040)
Hotho, A.; Maedche, A. & Staab, S.
Text Clustering Based on Good Aggregations
IEEE Computer Society,
2001, 607-608