Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification
IEEE Transactions on Systems, Man, and Cybernetics: Systems(2021)
摘要
Sentiment classification is a fundamental task in many natural language processing applications. Neural networks have achieved great successes on the sentiment classification task in recent years, since recurrent neural networks and long-short-term memory networks have the ability to deal with sequences of different lengths and to capture contextual semantic information. However, the effectiveness...
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关键词
Neural networks,Task analysis,Semantics,Context modeling,Sun,Natural language processing,Support vector machines
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