The Handbook of Latent Semantic Analysisis 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. TheHandbookclarifies 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.
Author(s): Thomas K. Landauer; Danielle S. McNamara; Simon Dennis; Walter Kintsch
Publisher: Psychology Press
Year: 2007
Language: English
Pages: 532
Cover......Page 1
Handbook of Latent Semantic Analysis ......Page 4
Copyright ......Page 5
Contents ......Page 6
Part I: Introduction to Lsa: Theoryand Methods ......Page 14
1. Lsa as a Theory of Meaning......Page 16
2. Mathematical Foundations Behind Latent Semantic Analysis......Page 48
3. How to Use the LSA web Site
......Page 70
4. Creating Your Own LSA Spaces
......Page 84
Part II: LSA in Cognitive Theory
......Page 100
5. Meaning in Context......Page 102
6. Symbolic or Embodied Representations: a Case for Symbol Interpendency......Page 120
7. Semantic Structure and Episodic Memory......Page 134
8. A Semantic Space for Modeling Children’s Semantic Memory......Page 156
9. Discourse Coherence and Lsa......Page 180
10. Spaces for Problem Solving......Page 198
Part III: LSA in Educational Applications
......Page 218
11. Assessing and Improving Comprehension with Latentsemantic Analysis......Page 220
12. Evaluating Self-explanations in Istart: Comparingword-based and Lsa Algorithms......Page 240
13. Using Lsa in Autotutor: Learning Throughmixed-initiative Dialogue in Natural Language......Page 256
14. Summary Street®: Computer-guided Summary writing
......Page 276
15. Automated Tools for Collaborative Learning Environments......Page 292
Part IV: Information Retrieval and Hciapplications of Lsa......Page 304
16. LSA and Information Retrieval: Getting Back to Basics
......Page 306
17. Helping People Find and Learn from Documents: exploiting Synergies Between Human Andcomputer Retrieval with Supermanual
......Page 336
18. Automating Usability Evaluation: Cognitivewalkthroughfor Theweb Puts Lsa Towork on Real-world Hcidesign Problems
......Page 358
Part V: Extensions to Lsa ......Page 390
19. Optimizing LSA Measures of Cohesion
......Page 392
20. Strengths, Limitations, and Extensions of LSA
......Page 414
21. Probabilistic Topic Models......Page 440
22. Introducing Word Order Within the LSA Framework
......Page 462
Part VI: Conclusion......Page 478
23. LSA and Meaning: in Theory and Application
......Page 480
Author Index ......Page 494
Subject Index ......Page 504
