How is determined the context's dimension in Doc2Vec?

Question

I would like to know how is determined the dimension of the context in Gensim Doc2Vec.

Answer 1

The dimension of the context in Gensim's Doc2Vec is determined by the parameter vector_size when you initialize the Doc2Vec model. This parameter sets the dimensionality of the output vectors.

For example, if you set vector_size=100, then the model will output 100-dimensional vectors for each document and word. This is a hyperparameter that you can tune based on your specific use case.

from gensim.models import Doc2Vec
model = Doc2Vec(vector_size=100)

In this case, the dimension of the context (i.e., the output vectors) is 100. You can change it as per your requirement.

Answer 2

In Genism's doc2vec,context is a list of words passed to models. That is a hyperparameter selected by the user, thus will problem specific.