An introduction to latent semantic analysis

Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text (Landauer & Dumais, 1997). The underlying idea is that the aggregate of all the word contexts in which a given...

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Vydané v:Discourse processes Ročník 25; číslo 2-3; s. 259 - 284
Hlavní autori: Landauer, Thomas K, Foltz, Peter W., Laham, Darrell
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Taylor & Francis Group 01.01.1998
Predmet:
Cognitive Processes
Coherence
Computer Generated Language Analysis
Context
Discourse Analysis
Information Content
Knowledge Representation
Language Research
Latent Semantic Analysis
Research Methodology
Semantic Analysis
Semantics
Statistical Analysis
Text Analysis
Word Meaning
ISSN:0163-853X, 1532-6950
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Popis
Shrnutí:Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text (Landauer & Dumais, 1997). The underlying idea is that the aggregate of all the word contexts in which a given word does and does not appear provides a set of mutual constraints that largely determines the similarity of meaning of words and sets of words to each other. The adequacy of LSA's reflection of human knowledge has been established in a variety of ways. For example, its scores overlap those of humans on standard vocabulary and subject matter tests; it mimics human word sorting and category judgments; it simulates word-word and passage-word lexical priming data; and, as reported in 3 following articles in this issue, it accurately estimates passage coherence, learnability of passages by individual students, and the quality and quantity of knowledge contained in an essay.
Bibliografia:ObjectType-Article-1
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ISSN:0163-853X
1532-6950
DOI:10.1080/01638539809545028