SOCIALCOM
2010
13 years 2 months ago
2010
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
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...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
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...