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KDD
2008
ACM
244views Data Mining» more  KDD 2008»
14 years 5 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
COLING
2010
12 years 12 months ago
Best Topic Word Selection for Topic Labelling
This paper presents the novel task of best topic word selection, that is the selection of the topic word that is the best label for a given topic, as a means of enhancing the inte...
Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy...
WORDS
2003
IEEE
13 years 10 months ago
Edsger Dijkstra
Brian Randell
COLING
2008
13 years 6 months ago
Modeling Chinese Documents with Topical Word-Character Models
As Chinese text is written without word boundaries, effectively recognizing Chinese words is like recognizing collocations in English, substituting characters for words and words ...
Wei Hu, Nobuyuki Shimizu, Hiroshi Nakagawa, Huanye...