We trained 100-dim word vectors on all the text content we currently have, plus some 30,000 wiki articles related to the business. New content comes in, convert words to vecs, average them, and use that resulting vec as the input to a basic classifier.
For how simple that is, the method is unreasonably good. Widely applicable too.
Demo:
http://turbomaze.github.io/word2vecjson/
Code:
https://github.com/turbomaze/word2vecjson
The code looks pretty straightforward so I look forward to exploring this playground of a new and fascinating concept.
