Hybrid quantum-classical networks match classical accuracy on tweet sentiment analysis and raise spam-class accuracy from 66% to 81% under transfer learning to SMS messages.
arXiv preprint arXiv:2002.04060 (2020)
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Hybrid quantum-classical neural network for sentiment analysis
Hybrid quantum-classical networks match classical accuracy on tweet sentiment analysis and raise spam-class accuracy from 66% to 81% under transfer learning to SMS messages.