Word2Vec: A Novel Semi-Supervised Learning Approach for Word Embeddings

Word2Vec is a technique for learning vector representations of words in a text corpus.

Data and Resources

Cite this as

Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, Jeffrey Dean (2024). Dataset: Word2Vec: A Novel Semi-Supervised Learning Approach for Word Embeddings. https://doi.org/10.57702/7lhagiq1

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1608.00869
Author Tomas Mikolov
More Authors
Ilya Sutskever
Kai Chen
Gregory S. Corrado
Jeffrey Dean
Homepage https://arxiv.org/abs/1306.3787