Research Article
News Text Sentiment Classification Method Based on Knowledge Graph
@INPROCEEDINGS{10.4108/eai.1-9-2023.2338760, author={Yanting Xu and Tianxiao Ji and Zhi Li}, title={News Text Sentiment Classification Method Based on Knowledge Graph}, proceedings={Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1--3, 2023, Chongqing, China}, publisher={EAI}, proceedings_a={ICPDI}, year={2023}, month={11}, keywords={news text sentiment classification knowledge graph news text corpus emotional knowledge map}, doi={10.4108/eai.1-9-2023.2338760} }- Yanting Xu
Tianxiao Ji
Zhi Li
Year: 2023
News Text Sentiment Classification Method Based on Knowledge Graph
ICPDI
EAI
DOI: 10.4108/eai.1-9-2023.2338760
Abstract
With the rapid innovation of the Internet, news text sentiment classification is an urgent information processing problem. This paper proposes a news text sentiment classification method based on knowledge graphs, constructs news knowledge graphs based on the basic news text corpus, sets the emotional bias base, and calculates the emotional coefficients through the knowledge graphs to obtain the emotional bias of news texts. In the news text verification data, news text knowledge reasoning achieved an accuracy rate of 93.659%.
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