3 ms·
What they have done is semi-supervised learning (Char-RNN) + supervised training of sentiment. Another way to do is semi-supervised learning (Word2Vec) + superv
by kamalbanga 10y 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?