The following module was proposed for inclusion in the Module List:
modid: Text::TEng
DSLIP: cdpOp
description: Framework for text mining scientific papers
userid: ANDREFS (André Fernandes dos Santos)
chapterid: 11 (String_Lang_Text_Proc)
communities:
Soon on GitHub (github.com/andrefs)
similar:
Text::Mining
rationale:
In the context of my master thesis in Bioinformatics, I'm currently
developing a framework for extracting numeric parameters (i.e.
tuples formed by numeric expression + parameter name + unit of
measure) and other relevant information from scientific literature.
Despite being tested mainly with biomedical-related domains, it
should be able to be used in other areas such as physics or
economics, because the recognition of numeric expressions is
domain-independent, and the recognition of domain specific entities
is performed based on an domain-specific user-provided ontology.
From the start the project was dubbed T-Eng (from Text
Engineering), and initially I had planned to call the distribution
Bio::TEng. However, given its broader scope, I now think that
Text::TEng is a better option. The only problem I see is the
existance of Teng, a "very simple DBI wrapper/ORMapper".
Is Text::TEng acceptable? I could also name it Text::Eng, is this a
better option?
Thanks,
André
enteredby: ANDREFS (André Fernandes dos Santos)
enteredon: Thu May 10 14:43:34 2012 GMT
The resulting entry would be:
Text::
::TEng cdpOp Framework for text mining scientific papers ANDREFS
Thanks for registering,
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