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KDD
2006
ACM
141views Data Mining» more  KDD 2006»
16 years 4 days ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
127
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ICASSP
2011
IEEE
14 years 3 months ago
A hierarchical generative model for Generic Audio Document Categorization
In this paper, we call the pattern classification problem that consists in assigning a category label to a long audio signal based on its semantic content as Generic Audio Documen...
Zhi Zeng, Shuwu Zhang
COLING
2010
14 years 6 months ago
Topic-Based Bengali Opinion Summarization
In this paper the development of an opinion summarization system that works on Bengali News corpus has been described. The system identifies the sentiment information in each docu...
Amitava Das, Sivaji Bandyopadhyay
JCDL
2006
ACM
159views Education» more  JCDL 2006»
15 years 5 months ago
Bibliometric impact measures leveraging topic analysis
Measurements of the impact and history of research literature provide a useful complement to scientific digital library collections. Bibliometric indicators have been extensively...
Gideon S. Mann, David M. Mimno, Andrew McCallum
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 1 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu