On Wed, Jun 15, 2011 at 8:25 AM, Gopalakrishnan Subramani < gopalakrishnan.subram...@gmail.com> wrote:
> Thank you Anand.. OpenCalais seems more promising.. I will play around this > weekend.. > If you want any code to start with, email me. I can share what I wrote with you. python-calais is pretty much full featured, so you shouldn't have any problems running it. > > -- > > Gopal > > On Tue, Jun 14, 2011 at 5:44 PM, Anand Balachandran Pillai < > abpil...@gmail.com> wrote: > > > On Tue, Jun 14, 2011 at 5:16 PM, Gopalakrishnan Subramani < > > gopalakrishnan.subram...@gmail.com> wrote: > > > > > Dear All, > > > > > > Thanks for very informative answers. I would follow NLT & also try out > > > Patra's advice as well. Post you my updates. > > > > > > > You can also do this by utilizing the entity extraction/categorization > > provided by > > online Linked-data/clustering providers. One such service is OpenCalais > > provided by Thomson-Reuters. > > > > I had played around with Calais one year back and found it very useful > > to learn about Linked-data and entity extraction. > > > > In fact, there is an already existing news clustering service written > > on top of OpenCalais. > > > > http://www.opencalais.com/applications/interceder > > > > Klezio.com was also a very good example of this, but now it seems > > to be down. > > > > In fact I cooked up an application to pull out the cost of mobile > > phones using Opencalais and demoed it in a BangPypers meeting > > some time back, here is an archive of it. > > > > http://web.archiveorange.com/archive/v/nwVbqtZ9jcT56TZEpxjw > > > > HTH. > > > > --Anand > > > > > > > > > -- > > > > > > Gopal > > > > > > On Tue, Jun 14, 2011 at 4:55 PM, Gora Mohanty <g...@mimirtech.com> > > wrote: > > > > > > > On Tue, Jun 14, 2011 at 1:28 PM, Gopalakrishnan Subramani > > > > <gopalakrishnan.subram...@gmail.com> wrote: > > > > > Thanks for suggestion. Can you give me a specific NLT > > toolset/approach > > > > with > > > > > example if you have experience already? > > > > > > > > Try clustering with Python NLTK ( http://www.nltk.org/ ). > > > > NLTK is well documented, and what you are looking for > > > > will probably be available from nltk.cluster. The site has > > > > a free, downloadable book , and extensive documentation. > > > > See, e.g., > > > http://www.opendocs.net/nltk/0.9.5/api/nltk.cluster-module.html > > > > > > > > If you are willing to go away from Python, there are various > > > > options, such as: > > > > * Carrot 2: http://search.carrot2.org/stable/search > > > > * Mahout: http://lucene.apache.org/mahout/ > > > > > > > > Regards, > > > > Gora > > > > _______________________________________________ > > > > BangPypers mailing list > > > > BangPypers@python.org > > > > http://mail.python.org/mailman/listinfo/bangpypers > > > > > > > _______________________________________________ > > > BangPypers mailing list > > > BangPypers@python.org > > > http://mail.python.org/mailman/listinfo/bangpypers > > > > > > > > > > > -- > > --Anand > > _______________________________________________ > > BangPypers mailing list > > BangPypers@python.org > > http://mail.python.org/mailman/listinfo/bangpypers > > > _______________________________________________ > BangPypers mailing list > BangPypers@python.org > http://mail.python.org/mailman/listinfo/bangpypers > -- --Anand _______________________________________________ BangPypers mailing list BangPypers@python.org http://mail.python.org/mailman/listinfo/bangpypers
