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by kamalbanga 3366 days ago
What they have done is semi-supervised learning (Char-RNN) + supervised training of sentiment. Another way to do is semi-supervised learning (Word2Vec) + supervised training of sentiment. If first approach works better, does it imply that character level learning is more performant than word level learning?