# word2vec **Domain:** Natural Language Processing / Representation Learning **Doc Type:** Model Family **Maturity:** Developed **Related:** [[Tomáš Mikolov]], [[Word Embeddings]], [[Representation Learning]], [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] ## Definition word2vec is a family of neural methods for learning distributed word representations from local predictive contexts. ## Bauhaus Architects Context It made semantic and syntactic relations operational in vector space and forms a documented bridge from Tomáš Mikolov to contemporary NLP. ## Backlinks - [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] - [[articles/Bauhaus Architects of AI|Bauhaus Architects of AI]]