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Use for data science questions related to the programming language Python. Not intended for general coding questions (which should be asked on Stack Overflow).
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Character Level Embeddings
For the sake of completeness, fastText uses sub-word information (character level n-grams) when creating embeddings and then for classification with some interesting results:
can give prediction for …
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Alternatives to doc2vec?
Depending on your target task. If you are to classify documents, then e.g. fastText has it's own approach and there are other classification techniques, not strictly generating embeddings, like LSA / …