Handbook of Latent Semantic Analysis (eBook, ePUB)

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

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 544
• Erscheinungstermin: 15. Februar 2007
• Englisch
• ISBN-13: 9781135603274
• Artikelnr.: 39265670

Autorenporträt

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

Inhaltsangabe

Contents: Part I: Introduction to LSA: Theory and Methods.T.K. Landauer
LSA as a Theory of Meaning. D. Martin
M. Berry
Mathematical Foundations Behind Latent Semantic Analysis. S. Dennis
How to Use the LSA Website. J. Quesada
Creating Your Own LSA Spaces. Part II:LSA in Cognitive Theory. W. Kintsch
Meaning in Context. M. Louwerse
Symbolic or Embodied Representations: A Case for Symbol Interdependency. M.W. Howard
K. Addis
B. Jing
M.K. Kahana
Semantic Structure and Episodic Memory. G. Denhire
B. Lemaire
C. Bellissens
S. Jhean-Larose
A Semantic Space for Modeling Children's Semantic Memory. P. Foltz
Discourse Coherence and LSA. J. Quesada
Spaces for Problem Solving. Part III:LSA in Educational Applications.K. Millis
J. Magliano
K. Wiemer-Hastings
S. Todaro
D.S. McNamara
Assessing and Improving Comprehension With Latent Semantic Analysis. D.S. McNamara
C. Boonthum
I. Levinstein
K. Millis
Evaluating Self-Explanations in iSTART: Comparing Word-Based and LSA Algorithms. A. Graesser
P. Penumatsa
M. Ventura
Z. Cai
X. Hu
Using LSA in AutoTutor: Learning Through Mixed-Initiative Dialog in Natural Language. E. Kintsch
D. Caccamise
M. Franzke
N. Johnson
S. Dooley
Summary Streetr: Computer-Guided Summary Writing. L. Streeter
K. Lochbaum
N. LaVoie
J.E. Psotka
Automated Tools for Collaborative Learning Environments. Part IV: Information Retrieval and HCI Applications of LSA.S.T. Dumais
LSA and Information Retrieval: Getting Back to Basics. P.K. Foltz
T.K. Landauer
Helping People Find and Learn From Documents: Exploiting Synergies Between Human and Computer Retrieval With SuperManual. M.H. Blackmon
M. Kitajima
D.R. Mandalia
P.G. Polson
Automating Usability Evaluation Cognitive Walkthrough for the Web Puts LSA to Work on Real-World HCI Design Problems. Part V:Extensions to LSA.D.S. McNamara
Z. Cai
M.M. Louwerse
Optimizing LSA Measures of Cohesion. X. Hu
Z. Cai
P. Wiemer-Hastings
A.C. Graesser
D.S. McNamara
Strength
Weakness
and Extensions of LSA. M. Steyvers
T. Griffiths
Probabilistic Topic Models. S. Dennis
Introducing Word Order: Within the LSA Framework. Part VI:Conclusion.W. Kintsch
D.S. McNamara
S. Dennis
T.K. Landauer
LSA and Meaning: In Theory and Application.