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There are a couple of ways to evaluate word embeddings. One is to take few random words (as queries) and find the k closest words, using cosine similarity, followed by manually verifying if those k words seem reasonable.
The second approach would be to simply visualize the embeddings in 2D or 3D space, using t-SNE, PCA or UMAP and check the groups formed.
