I have database of specs in json format. This is not manual effort. Right now, NLTK seems to be hard to me. I will try a plain Python wrappers based on word match, approach NLTK later.
Thanks. On Sun, Sep 8, 2013 at 11:29 AM, harish badrinath <harishbadrin...@gmail.com > wrote: > Hello, > > On Sun, Sep 8, 2013 at 2:34 AM, Gopalakrishnan Subramani < > gopalakrishnan.subram...@gmail.com> wrote: > > > Dear All, > > > > I want to build a simple automatic text based chat bot for mobile, > tablet > > specs for proof of concept. > > > > How do you plan to preseed the knowledge for the application (manually or > information extraction through webpages,etc). > > > > The question is, when the user talks about "Samsung Galaxy S3 Weight", > > "Galaxy SIII Weight", can NLTK predict a product (ex: Galaxy SIII) and > give > > me the unique _id of the product for further look up for group/attribute > > like weight? > > > > If it is manually enter the knowledge then nltk should not be required ( > something like yacc plus a good database schema should suffice, again > depends on the type of input language you plan to support). > > Warm regards, > Harish Badrinath > _______________________________________________ > BangPypers mailing list > BangPypers@python.org > https://mail.python.org/mailman/listinfo/bangpypers > _______________________________________________ BangPypers mailing list BangPypers@python.org https://mail.python.org/mailman/listinfo/bangpypers
