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Handbook of Latent Semantic Analysis

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

Print publication date:  February  2007
Online publication date:  May  2013

Print ISBN: 9780805854183
eBook ISBN: 9780203936399
Adobe ISBN: 9781135603281

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Book description

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.

Table of contents

Prelims Download PDF
Chapter  1:  LSA as a Theory of Meaning Download PDF
Chapter  2:  Mathematical Foundations Behind Latent Semantic Analysis Download PDF
Chapter  3:  How to Use the LSA Web Site Download PDF
Chapter  4:  Creating Your Own LSA Spaces Download PDF
Chapter  5:  Meaning in Context Download PDF
Chapter  6:  Symbolic or Embodied Representations Download PDF
Chapter  7:  Semantic Structure and Episodic Memory Download PDF
Chapter  8:  A Semantic Space for Modeling Children’s Semantic Memory Download PDF
Chapter  9:  Discourse Coherence and LSA Download PDF
Chapter  10:  Spaces for Problem Solving Download PDF
Chapter  11:  Assessing and Improving Comprehension With Latent Semantic Analysis Download PDF
Chapter  12:  Evaluating Self-Explanations in iSTART Download PDF
Chapter  13:  Using LSA in AutoTutor Download PDF
Chapter  14:  Summary Street® Download PDF
Chapter  15:  Automated Tools for Collaborative Learning Environments Download PDF
Chapter  16:  LSA and Information Retrieval Download PDF
Chapter  17:  Helping People Find and Learn From Documents Download PDF
Chapter  18:  Automating Usability Evaluation Download PDF
Chapter  19:  Optimizing LSA Measures of Cohesion Download PDF
Chapter  20:  Strengths, Limitations, and Extensions of LSA Download PDF
Chapter  21:  Probabilistic Topic Models Download PDF
Chapter  22:  Introducing Word Order Within the LSA Framework Download PDF
Chapter  23:  LSA and Meaning Download PDF
Subject Index Download PDF
Author Index Download PDF
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