8 search results - page 1 / 2 » Social and semantics analysis via non-negative matrix factor... |
WWW
2008
ACM
14 years 8 months ago
2008
ACM
Social media such as Web forum often have dense interactions between user and content where network models are often appropriate for analysis. Joint non-negative matrix factorizat...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as docum...
SIGIR
2008
ACM
2008
ACM
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
13 years 7 months ago
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
SIGIR
2004
ACM
14 years 27 days ago
2004
ACM
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...