Create vectors for classification

[GoogleCodeExporter]

I'm trying to use word2vec in order to change a bunch of text into vectors with 
the use of word2vec.

Ultimately, I want to do this so I can go from text -> vectors -> 
classification through the usage of a classification algorithm like a neural 
network. Any reading or testing of word2vec, however, does not let me output a 
vectorized version of my input text data, but, rather, I can just do word 
similarity or some other feature like that. 

Am I completely off base with the potential usage of word2vec or is this 
actually possible?

Original issue reported on code.google.com by [email protected] on 1 Jun 2015 at 2:37

[GoogleCodeExporter]

Sure this is possible, but you will need to change the code a bit. Simply, 
instead of having objective to predict nearby words, you can sum the word 
vectors in a sentence (like in CBOW) and predict the label. It should work 
well, if you train it for sufficient number of iterations.

Original comment by [email protected] on 2 Jun 2015 at 7:16