Unsupervised Semantic Mapping

Guess what I want for Christmas or my birthday even…

Here  is a paper by the guys who are designing this nifty piece of software followed by my few early attempts at using it with data measuring over 12mbs. The blurb on the software assures me that it can handle over 300mbs. of data. It is a neat and tidy piece of software. From what I can tell the scholarly foundations of this software are second to none.

Only problem is that its going to cost me or rather the department over £300. Worth every penny.



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




University of Queensland, Brisbane, Queensland, Australia


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. Link.





 Leximancer Semantic Map Feb 2009

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