hi guys,
Noob alert: I dont have a theoretical background in AI or NLP
I was looking to do something similar in the (loosely) financial
industry, where I wanted to determine strongly correlated technical
words and use them as search suggestions. Which is why, this project
is very interesting to me.
I came across the SemanticVectors package (
http://code.google.com/p/
semanticvectors/) which seems to be a parallelizable technique for "
thesaurus generation, knowledge representation, and concept matching".
I'm having a bit of an understanding problem - why couldnt this be
used out of the box ?
Thanks!
-Sandeep