Word2Vec Models: CBOW and SkipGram

In this repository, two popular Word2Vec architectures are implemented: CBOW (Continuous Bag of Words) and SkipGram. Both models are used for generating vector representations of words, known as embeddings.

Description

CBOW (Continuous Bag Of Words)

CBOW predicts target words from context words. Given a set of context words, CBOW tries to predict the word in the middle.

Example:

• Sentence: "The cat sleeps on the bed".
• Context words: "The", "cat", "on", "the".
• Target word: "sleeps".

SkipGram

SkipGram does the opposite of CBOW. Given a word, it tries to predict the context words.

Example:

• Sentence: "The cat sleeps on the bed".
• Target word: "sleeps".
• Context words: "The", "cat", "on", "the".

---

Contact

(c) 2023 José Juan Hernández Gálvez
Github: https://github.com/josejuanhernandezgalvez
(c) 2023 Jorge Lang-Lenton Ferreiro
Github: https://github.com/JorgeLLF