90 search results - page 11 / 18 » Non-distributional Word Vector Representations |
SDM
2011
SIAM
12 years 11 months ago
2011
SIAM
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
IJON
2006
13 years 8 months ago
2006
Sensory systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the syste...
ACSC
2009
IEEE
14 years 3 months ago
2009
IEEE
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...