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Word2Vec Resources
Gus Hahn-Powell edited this page Sep 9, 2017
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| Resource Description | Type | Link |
|---|---|---|
tutorial of w2v and Paragraph2Vec
|
jupyter notebook | http://nbviewer.ipython.org/github/fbkarsdorp/doc2vec/blob/master/doc2vec.ipynb |
| description of CBOW and skip-gram implementation | lecture notes | http://cs224d.stanford.edu/lecture_notes/LectureNotes1.pdf |
| original implementation (C++), trained vectors, training data, etc | source code | https://code.google.com/p/word2vec/ |
| Linguistic Regularities in Continuous Space Word Representations | paper | http://msr-waypoint.com/en-us/um/people/gzweig/Pubs/NAACL2013Regularities.pdf |
gensim |
Python library | https://radimrehurek.com/gensim/models/word2vec.html |
| tutorial and web app for tests done in paper | example | http://radimrehurek.com/2014/02/word2vec-tutorial/ |
Apache Spark |
library | http://spark.apache.org/docs/latest/mllib-feature-extraction.html#word2vec |
deeplearning4j |
Java library | http://deeplearning4j.org/word2vec.html |
medallia |
Java library | https://github.com/medallia/Word2VecJava |