Good luck, report back. My canonical 1st step w/stuff that looks like
NLP, is to flip thru the Jurafsky/Martin and Norvig Russell AI texts
and identify paths of least resistance, like naive Bayesian or LSI,
that have perl/python/ruby/C packages that i can thrash around in with
my data .
some othe
Actually i went through the NLTK site tutorials and it has a steep
learning curve associated with it. Well if i can learn it, it will be
the best fit module for my app. But if it gets hard, i'll definitely
opt for the text indexers u gratefully pointed to me. Thanks.
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Yes, there's a lot of issues, cross-site scripting, session hijacking,
proper authentication, etc. Open Web App Security Project is useful
www.owasp.org
Also, before you start with NLP and full-on parsers, think about if you
can apply a text indexer, stemming and stopping both your user's
queri
a good text indexer will help, look at lupy, pyndex, xapian etc
http://www.pypackage.org/packages/python-pyndex
http://www.divmod.org/Home/Projects/Lupy/
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Thanks for making me aware of the security loophole of the web app i am
planning.
Godwin Burby
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Thanks for providing me with all those informative links about NLTK nad
CNL. I'll certainly look into it.
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Thanks for informing me about NLTK. I'll certainly look into it and
other options. Hope my dream doesn't go into the graves.
Godwin Burby
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In translating natural language to SQL, be sure you're not introducing
opportunities for SQL injection attacks. Code like
sql = 'SELECT %s FROM %s' % (this, that)
is considered dangerous, because a well-crafted value for "that" can be
used to, e.g., delete rows from your tables, run system com
godwin wrote:
> Hello there,
> I need some thoughts about a web application that i am dreaming
> and drooling about in python. I want a search page to look exactly like
> Google. But when i press the search button, it should search a database
> in an rdbms like Oracle and provide results.
>
