Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China

Research Article

News Text Sentiment Classification Method Based on Knowledge Graph

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  • @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
Yanting Xu1, Tianxiao Ji1, Zhi Li1,*
  • 1: Shanghai Branch of National Computer network Emergency Response technical Team
*Contact email: jasonleo_zhi@hotmail.com

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%.

Keywords
news text sentiment classification knowledge graph news text corpus emotional knowledge map
Published
2023-11-21
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-9-2023.2338760
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