I have trained a word2vec model using GenSim 4.
The problem is that my corpus is quite small.
How can I test the quality of the word embeddings I have obtained?
Is there some standard measures to do that?
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One way to test your embedding is see how often your model agrees with the common consensus of how other embeddings complete word analogies. A collection of established word embedding analogies are here.