NLP: any easy and good methods to find semantic similarity between words?

Posted by sadawd on Stack Overflow See other posts from Stack Overflow or by sadawd
Published on 2010-03-14T06:09:20Z Indexed on 2010/03/14 6:15 UTC
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Dear Everyone, I don't know whether stackoverflow covers NLP, so I am gonna give this a shot. I am interested to find the semantic relatedness of two words from a specific domain, i.e. "image quality" and "noise". I am doing some research to determine if reviews of a cameras are positive or negative for a particular attribute of the camera. (like image quality in each one of the reviews).

However, not everybody uses the exact same wording "image quality" in the posts, so I am out to see if there is a way for me to build something like that:

"image quality" which includes ("noise", "color", "sharpness", etc etc) so I can wrap all everything within one big umbrella.

I am doing this for another language, so Wordnet is not necessarily helpful. And no, I do now work for Google or Microsoft so I do not have data from people's clicking behavior as input data either.

However, I do have a lot of text, pos-tagged, segmented etc.

Thanks

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