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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 8 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
JIIS
2002
114views more  JIIS 2002»
13 years 7 months ago
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Ata Kabán, Mark Girolami
EMNLP
2009
13 years 5 months ago
Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models
This paper presents preliminary results on the detection of cultural differences from people's experiences in various countries from two perspectives: tourists and locals. Ou...
Michael Paul, Roxana Girju
NIPS
2007
13 years 9 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 5 months ago
Topic Evolution in a Stream of Documents.
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Alexander Hinneburg, Andrè Gohr, Myra Spili...