Convolutional Neural Network Combined with Emotional Dictionary Apply in Chinese Text Emotional Classification

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Convolutional Neural Network Combined with Emotional Dictionary Apply in Chinese Text Emotional Classification

Mao, Gui-Han / Fan, Jian-Cong / Zhang, Yi-Ming

At present, convolutional neural network has achieved good results in text emotional classification, but in several common models, it does not make use of a large number of prior knowledge that human society has now acquired. This paper proposes a new CNN model based on emotional dictionary: emotional knowledge-CNN (EK-CNN), which uses emotional dictionary as additional knowledge to improve the performance of the model in emotional classification. The model has been validated on three real data sets, and is superior to the existing technology model for text emotion classification.

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Title :

Convolutional Neural Network Combined with Emotional Dictionary Apply in Chinese Text Emotional Classification

Additional title:

Smart Innovation, Systems and Technologies

Contributors:

Balas, Valentina Emilia (editor) / Pan, Jeng-Shyang (editor) / Wu, Tsu-Yang (editor) / Mao, Gui-Han (author) / Fan, Jian-Cong (author) / Zhang, Yi-Ming (author)

Published in:

Advances in Smart Vehicular Technology, Transportation, Communication and Applications ; Chapter : 9 ; 85-96

Smart Innovation, Systems and Technologies ; 226

Publication date :

2021-07-02

Size :

12 pages

ISBN :

978-981-16-1209-1 , 978-981-16-1208-4

ISSN :

2190-3026 , 2190-3018

DOI :