Global average pooling convolutional neural network-based Chinese emotion tendency classification method

Abstract

The invention provides a global average pooling convolutional neural network-based Chinese emotion tendency classification method, which is a technology for analyzing a Chinese text collected from a network by utilizing a computer. The method comprises the steps of building a global average pooling convolutional neural network-based Chinese emotion tendency classification model which extracts semantic emotion features by utilizing three channel transformation convolution layers; performing pooling calculation on the features extracted by the convolution layers by a global average pooling layerto obtain confidence values corresponding to output types; and outputting emotion classification tags by Softmax. According to the method, model parameters are set for performing multi-time training,and the model with the highest classification accuracy is selected for Chinese emotion tendency classification; and, complex feature engineering in conventional emotion analysis is avoided, the semantic emotion feature extraction capability of the model is enhanced, the model over-fitting is effectively avoided, and the emotion tendency classification performance of the model is improved.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, and relates to a technology for analyzing Chinese texts collected from a network by using a computer, in particular to a classification model oriented to the emotional tendency of Chinese texts, as well as the training of the model and the text sentiment analysis by using the model method of propensity classification. Background technique [0002] With the development of the Internet, more and more people tend to express their opinions, express their emotions, and expound their opinions through the Internet. The vigorous development of various new network platforms such as social networking, e-commerce and self-media has led to geometric growth of Internet information. For e-commerce merchants, user comments and feedback are an effective means to improve the quality of their own products and services; for government departments, it is necessary to keep abreast of public inten...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a Chinese emotional tendency classification method based on the global average pooling convolutional neural network to solve the problems of cumbersome feature engineering of existing emotional classification methods, easy introduction of human factor interference, and limitation of specific tasks, etc.

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