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COLING
2008
13 years 9 months ago
Enhancing Multilingual Latent Semantic Analysis with Term Alignment Information
Latent Semantic Analysis (LSA) is based on the Singular Value Decomposition (SVD) of a term-by-document matrix for identifying relationships among terms and documents from cooccur...
Brett W. Bader, Peter A. Chew
FLAIRS
2008
13 years 9 months ago
Incorporating Latent Semantic Indexing into Spectral Graph Transducer for Text Classification
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
Xinyu Dai, Baoming Tian, Junsheng Zhou, Jiajun Che...
COLING
2010
13 years 2 months ago
Text Summarization of Turkish Texts using Latent Semantic Analysis
Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-form...
Makbule Ozsoy, Ilyas Cicekli, Ferda Nur Alpaslan
DAS
2006
Springer
13 years 11 months ago
Automated Scoring of Handwritten Essays Based on Latent Semantic Analysis
Handwritten essays are widely used in educational assessments, particularly in classroom instruction. This paper concerns the design of an automated system for performing the task ...
Sargur N. Srihari, Jim Collins, Rohini K. Srihari,...
SIGKDD
2010
146views more  SIGKDD 2010»
13 years 2 months ago
Latent semantic indexing (LSI) fails for TREC collections
The aim of latent semantic indexing (LSI) is to uncover the relationships between terms, hidden concepts, and documents. LSI uses the matrix factorization technique known as singu...
Avinash Atreya, Charles Elkan