Application of public emotion feature extraction algorithm based on social media communication in public opinion analysis of natural disasters.

ABSTRACT: Natural disasters are usually sudden and unpredictable, so it is too difficult to infer them. Reducing the impact of sudden natural disasters on the economy and society is a very effective method to control public opinion about disasters and reconstruct them after disasters through social media. Thus, we propose a public sentiment feature extraction method by social media transmission to realize the intelligent analysis of natural disaster public opinion. Firstly, we offer a public opinion analysis method based on emotional features, which uses feature extraction and Transformer technology to perceive the sentiment in public opinion samples. Then, the extracted features are used to identify the public emotions intelligently, and the collection of public emotions in natural disasters is rea

SUBMITTER: Li S 

PROVIDER: S-EPMC10280573 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature