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The Amazing Power of Word Vectors (2016)

blog.acolyer.org

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Re: The Amazing Power of Word Vectors (2016)

#6
post #2

This is an awesome explanation of those papers! Does anyone have any cool examples of word2vec being used in a project? I'd be interested in seeing what people could make with it.

Document type classification. We wanted to predict which of these k classes a new text document was.

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.

Re: The Amazing Power of Word Vectors (2016)

#7

More interesting information from a DOD research lab that resulted in vectors https://www.kaggle.com/c/word2vec-nlp-tutorial/discussion/12...

Department of Energy, not to be confused with Department of Defense. Granted there is a lot of nuclear weapons work at DOE, but LBNL does mostly big science work up the hill from Berkeley

Re: The Amazing Power of Word Vectors (2016)

#9

More interesting information from a DOD research lab that resulted in vectors https://www.kaggle.com/c/word2vec-nlp-tutorial/discussion/12...

Department of Energy, not to be confused with Department of Defense. Granted there is a lot of nuclear weapons work at DOE, but LBNL does mostly big science work up the hill from Berkeley

[deleted]

Re: The Amazing Power of Word Vectors (2016)

#10
Word vectors are great. We've also written about them at length.[0] But any one interested in word vectors should also be looking at newer ways of applying neural nets to text. Specifically, convolutional nets with pooling for time are producing great results for clustering and classification.

[0] https://deeplearning4j.org//word2vec

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