Handbook of Latent Semantic Analysis

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analyses4
automated text understanding systems
Category=CFD
Category=JMR
cosine
cross-language
Cross-Language Information Retrieval
discourse analysis
Document Vectors
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
High Dimensional Semantic Spaces
Highest Cosine
information
Intelligent Essay Assessor
Lanczos Algorithm
Lanczos Vectors
Latent Semantic Analysis
lsa
LSA Cosine
LSA Score
LSA Similarity
LSA Space
LSA Vector
machine comprehension
Multiple Reading Strategies
Pearson Knowledge Technologies
Pedagogical Agents
Recall Transitions
Retrieval Structure
Semantic Similarity
semantic similarity measures
Semantic Space
sentence
similarity
space
spaces
SVD Computation
symbolic representation
target
Target Sentence
topic modeling
Total Clicks
Vector Space Model
vector space modeling
Vice Versa

Product details

  • ISBN 9780805854183
  • Weight: 1170g
  • Dimensions: 152 x 229mm
  • Publication Date: 15 Feb 2007
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book of its kind to deliver such a comprehensive analysis, this volume explores every area of the method and combines theoretical implications as well as practical matters of LSA.
Readers are introduced to a powerful new way of understanding language phenomena, as well as innovative ways to perform tasks that depend on language or other complex systems. The Handbook clarifies misunderstandings and pre-formed objections to LSA, and provides examples of exciting new educational technologies made possible by LSA and similar techniques. It raises issues in philosophy, artificial intelligence, and linguistics, while describing how LSA has underwritten a range of educational technologies and information systems. Alternate approaches to language understanding are addressed and compared to LSA.
This work is essential reading for anyone—newcomers to this area and experts alike—interested in how human language works or interested in computational analysis and uses of text. Educational technologists, cognitive scientists, philosophers, and information technologists in particular will consider this volume especially useful.

Thomas K. Landauer, Danielle S. McNamara, Simon Dennis, Walter Kintsch