Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping

The Leximancer system is a relatively new method for transforming lexical co-occurrence information from natural language into semantic patterns in a nunsupervised manner. It employs two stages of co-occurrence information extraction-semantic and relational-using a different algorithm for each stage...

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Bibliographic Details
Published in:Behavior research methods 2006-05, Vol.38 (2), p.262-279
Main Authors: SMITH, Andrew E, HUMPHREYS, Michael S
Format: Article
Language:English
Subjects:
Algorithms
Automation
Biological and medical sciences
Content analysis
Equipment Design
Fundamental and applied biological sciences. Psychology
Human subjects
Humans
Language
Learning
Linguistics
Linguistics - instrumentation
Miscellaneous
Psychology
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Semantics
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Summary:The Leximancer system is a relatively new method for transforming lexical co-occurrence information from natural language into semantic patterns in a nunsupervised manner. It employs two stages of co-occurrence information extraction-semantic and relational-using a different algorithm for each stage. The algorithms used are statistical, but they employ nonlinear dynamics and machine learning. This article is an attempt to validate the output of Leximancer, using a set of evaluation criteria taken from content analysis that are appropriate for knowledge discovery tasks.
ISSN:1554-351X
1554-3528
DOI:10.3758/BF03192778