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» Automatic Labelling of Topic Models
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KDD
2007
ACM
206views Data Mining» more  KDD 2007»
14 years 5 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
ACL
2011
12 years 8 months ago
Automatic Labelling of Topic Models
Jey Han Lau, Karl Grieser, David Newman, Timothy B...
ICASSP
2011
IEEE
12 years 8 months ago
Automatic video annotation via Hierarchical Topic Trajectory Model considering cross-modal correlations
We propose a new statistical model, named Hierarchical Topic Trajectory Model (HTTM), for acquiring a dynamically changing topic model that represents the relationship between vid...
Takuho Nakano, Akisato Kimura, Hirokazu Kameoka, S...
ICASSP
2011
IEEE
12 years 8 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...
COLING
2010
12 years 11 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...