Text sentiment analysis method and device, storage medium and computer equipment

Abstract

The invention relates to a text sentiment analysis method and device, a storage medium and computer equipment. A sentence vector in a sentence in a test text is obtained and is formed in a way that the word vectors of words in the sentence are connected, and the sentence vector is independently input into two preset convolutional neural networks and one two-way long short-term memory neural network model to be preprocessed to obtain three sentence feature vectors of the sentence. Three sentence feature vectors are connected, the connected sentence feature vectors are classified through a classifier SVM (Support Vector Machine) to obtain the sentiment classification result of the sentence, and the emotional tendency of a test text can be obtained according to the sentiment classification result of the sentence. By use of the method, the convolutional neural network can be combined to effectively extract local features, the two-way long short-term memory neural network can effectively analyze the advantages of time sequence features, the test text is subjected to the sentiment analysis through the method to obtain robustness with higher emotional tendency and generalization ability,and efficiency is higher.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to a text sentiment analysis method, device, storage medium and computer equipment. Background technique [0002] Automatic analysis of text sentiment data has always been an important research and application technology field of artificial intelligence and natural language processing technology. Its main function is to automatically analyze and learn the emotional expression contained in text data through natural language processing technology and emotional computing technology. , classify sentences into positive, negative, and neutral categories according to their emotional expressions. [0003] With the continuous improvement of my country's comprehensive national strength, tertiary industries such as the Internet and the Internet of Things have gradually become the latest engines of economic development. Sentiment analysis of text data in these appli...

AI Technical Summary

Problems solved by technology

However, for industries that need to process a large amount of text data, using traditional text sentime

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