Study of text emotion analysis based on deep learning

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Abstract:

In traditional sentiment classification methods, sentiment-based methods rely heavily on the quality and coverage of sentiment lexicons, whereas machine-based approaches rely on features of manual construction and decimation. 

In recent years, deep learning technology has made great progress in the field of natural language processing, depth model has more powerful skills. 

This article focuses on several commonly used deep learning models for textual affective classification and compares their strengths and weaknesses.

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Keywords:

deep learning, convolutional neural networks, recurrent neural networks, short and long-term memory recurrent neural networks

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https://ieeexplore.ieee.org/document/8398170/

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