A novel text sentiment analysis system using improved depthwise separable convolution neural networks

ABSTRACT: Human behavior is greatly affected by emotions. Human behavior can be predicted by classifying emotions. Therefore, mining people’s emotional tendencies from text is of great significance for predicting the behavior of target groups and making decisions. The good use of emotion classification technology can produce huge social and economic benefits. However, due to the rapid development of the Internet, the text information generated on the Internet increases rapidly at an unimaginable speed, which makes the previous method of manually classifying texts one-by-one more and more unable to meet the actual needs. In the subject of sentiment analysis, one of the most pressing problems is how to make better use of computer technology to extract emotional tendencies from text data in a way that

SUBMITTER: Kong X 

PROVIDER: S-EPMC10280403 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature