Hi dears

If I want to do supervised multi-classes classification of specific domain such as history, using one of the deep learning techniques. Which is the best word embeddings method should I use?

1- Word2vec based on Continuous Bag-of-Words,

2- Word2 vector based on Continuous Skip-Gram Model,

3- Glove.

4- BERT Model

Many thanks in advance.

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