Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping
Contribuinte(s) |
J. Krantz |
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Data(s) |
01/01/2006
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Resumo |
The Leximancer system is a relatively new method for transforming lexical co-occurrence information from natural language into semantic patterns in an unsupervised 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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Psychonomic Soc Inc |
Palavras-Chave | #Psychology, Mathematical #Psychology, Experimental #C1 #380102 Learning, Memory, Cognition and Language #780108 Behavioural and cognitive sciences |
Tipo |
Journal Article |