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Latent semantic analysis

Known as: Infoscale, LSA, Latent semantic indexing 
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships… 
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Related topics

Related topics

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Automated essay scoringBiclusteringCognitionCoh-Metrix

Broader (1)

Natural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Using Random Indexing to improve Singular Value Decomposition for Latent Semantic Analysis
In this paper we present results from using Random indexing for Latent Semantic Analysis to handle Singular Value Decomposition… 
2006
2006
Latent Semantic Analysis
Latent semantic analysis (LSA) approximates human understanding of relations between word and passage meanings in a wide variety… 
2006
2006
Investigating Unstructured Texts with Latent Semantic Analysis
Latent semantic analysis (LSA) is an algorithm applied to approximate the meaning of texts, thereby exposing semantic structure… 
2005
2005
How semantic is Latent Semantic Analysis?
In the past decade, Latent Semantic Analysis (LSA) was used in many NLP approaches with sometimes remarkable success. However… 
Highly Cited
2004
Highly Cited
2004
Supervised latent semantic indexing for document categorization
Latent semantic indexing (LSI) is a successful technology in information retrieval (IR) which attempts to explore the latent… 
2003
2003
Use of low copy number DNA in forensic inference
2003
2003
Audio-visual talking face detection
Talking face detection is important for videoconferencing. However, the detection of the talking face is difficult because of the… 
Highly Cited
2002
Highly Cited
2002
Text Retrieval Using Self-Organized Document Maps
A map of text documents arranged using the Self-Organizing Map (SOM) algorithm (1) is organized in a meaningful manner so that… 
Review
2000
Review
2000
Latent semantic analysis of textual data
Latent Semantic Analysis of Text Information The paper presents an overview of the usage of LSA for analysis of textual data. The… 
1998
1998
Large-Scale SVD and Subspace-Based Methods for Information Retrieval
A theoretical foundation for latent semantic indexing (LSI) is proposed by adapting a model first used in array signal processing… 
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