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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
2005
Highly Cited
2005
A latent semantic indexing based method for solving multiple instance learning problem in region-based image retrieval
Relevance feedback (RF) is a widely used technique in incorporating user's knowledge with the learning process for content-based… 
2003
2003
Use of low copy number DNA in forensic inference
Highly Cited
2002
Highly Cited
2002
Finding Similar Queries to Satisfy Searches Based on Query Traces
Many agree that the relevancy of current search engine results needs significant improvement. On the other hand, it is also true… 
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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