Explain how Doc2Vec works?

659    Asked by ColemanGarvin in Data Science , Asked on Dec 23, 2019
Answered by Coleman Garvin

Doc2Vec is a document embedding technique which is used to represent documents into numeric vectors. The approach used by Doc2Vec is PV-DM which acts as a memory that helps to identify what is missing from the context. This technique represents the concept of a document. Also, they use another approach called PV-DBOW and it consumes less memory. But is always recommended to use both the approach but in comparison, PV-DM is faster than PV-DBOW.


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