Public opinion early warning technology of power supply service based on topic web crawler

Qianqian Li; Jing Li; Yue Shang; Wenjie Fan

doi:10.1117/12.2656636

20 October 2022 Public opinion early warning technology of power supply service based on topic web crawler

Qianqian Li, Jing Li, Yue Shang, Wenjie Fan

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124510E (2022) https://doi.org/10.1117/12.2656636
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

To improve the response time of public opinion on early warning of power service and expand the coverage of early warning, this time, combined with the theme of web crawler technology, the research on public opinion on early warning technology of power supply service is carried out. According to the power service situation, collect the public opinion data of power supply service, analyze the public opinion situation according to the service results, and conduct topic discovery. Based on this, the overlapping web crawler public opinion early warning model is designed, and the public opinion threat estimation method is used to realize early warning processing. The final test results show that: Compared with the traditional clustering public opinion early warning test group and the traditional sentiment calculation public opinion early warning test group, the final early warning response time of the theme web crawler public opinion early warning test group designed in this paper is controlled within 1.5s. It shows that in the practical application process, the method in this paper has a fast early warning speed for public opinion, and the error of data and information processing is small, which has practical application value.

Citation Download Citation

Qianqian Li, Jing Li, Yue Shang, and Wenjie Fan "Public opinion early warning technology of power supply service based on topic web crawler", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124510E (20 October 2022); https://doi.org/10.1117/12.2656636

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