Getting Started with Word2Vec

1. Source by Google

Project with Code: https://code.google.com/archive/p/word2vec/

Blog: Learning Meaning Behind Words

Paper:

1. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.
2. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality. In Proceedings of NIPS, 2013.
3. Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic Regularities in Continuous Space Word Representations. In Proceedings of NAACL HLT, 2013.
4. Tomas Mikolov, Quoc V. Le, Ilya Sutskever. Exploiting Similarities among Languages for Machine Translation
5. NIPS DeepLearning Workshop NN for Text by Tomas Mikolov and etc. https://docs.google.com/file/d/0B7XkCwpI5KDYRWRnd1RzWXQ2TWc/edit

2. Best explaination

Best explained with original models, optimizing methods, Back-propagation background and Word Embedding Visual Inspector

paper: word2vec Parameter Learning Explained

Slides: Word Embedding Explained and Visualized

Youtube Video: Word Embedding Explained and Visualized – word2vec and wevi

Demo: wevi: word embedding visual inspector

3. Word2Vec Tutorials

Word2Vec Tutorial by Chris McCormick

Chris McCormick http://mccormickml.com/

Note: skip over the usual introductory and abstract insights about Word2Vec, and get into more of the details

Word2Vec Tutorial – The Skip-Gram Model

Word2Vec Tutorial Part 2 – Negative Sampling

Alex Minnaar’s Tutorials

Alex Minnaar http://alexminnaar.com/

Word2Vec Tutorial Part I: The Skip-Gram Model

Word2Vec Tutorial Part II: The Continuous Bag-of-Words Model

4. Learning by Coding

Distributed Representations of Sentences and Documents http://nbviewer.jupyter.org/github/fbkarsdorp/doc2vec/blob/master/doc2vec.ipynb

An Anatomy of Key Tricks in word2vec project with examples http://nbviewer.jupyter.org/github/dolaameng/tutorials/blob/master/word2vec-abc/poc/pyword2vec_anatomy.ipynb

Python Word2Vec by Gensim related articles

1. Deep learning with word2vec and gensim, Part One
2. Word2vec in Python, Part Two: Optimizing
3. Parallelizing word2vec in Python, Part Three
4. Gensim word2vec document: models.word2vec – Deep learning with word2vec
5. Word2vec Tutorial by Radim Řehůřek (Note: Simple but very powerful tutorial for word2vec model training in gensim.)

5. Ohter Word2Vec Resources

Word2Vec Resources by Chris McCormick

Posted by TextProcessing

References

1. https://textprocessing.org/getting-started-with-word2vec