Abstract
With the development of computer technology and Internet technology, people can get a large amount of data directly through the Internet. This paper builds a model of policy evaluation on text mining by using text mining techniques, and builds policy evaluation indicators through word breaker technology, word frequency statistics, construction thesaurus, subject analysis, and co-existing analysis. Using 10 logistics policy texts in Heilongjiang Province, 12 logistics policy texts in Jilin Province and 8 logistics policy articles in Liaoning Province between 2015 and 2020, a total of 30 logistics policy texts were used as the research objects of this paper, and then the PMC model was used to score the logistics policy text, the PMC surface was drawn to visualize the focus of logistics policy documents in different provinces, and the policy evaluation models constructed by experts were combined with the policy interpretation documents to verify that the policy evaluation models built by text mining technology were effective.
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References
Wei, W., Tiantian, L., Lei, X.: Bei**g public creation space support policy tool excavation and quantitative evaluation research. Soft Sci. 32(9), 56–61 (2018)
Howlett, M., Ramesh, M., Perl, A.: Studying Public Policy: Policy Cycles and Policy Subsystems. Oxford University Press, Oxford (2009)
McDonnell, L.M., Elmore, R.F.: Getting the job done: alternative policy instruments. Educ. Eval. Policy Anal. 9(2), 133–152 (1987)
Rothwell, R., Zegveld, W.: Industrial innovation and public policy: Preparing for the 1980s and 1990s. Frances Printer, London (1981)
Liangcheng, L.: Research on the innovation-driven development strategy policy analysis framework of policy tool dimensions 33(11), 95–102 (2016)
Lixiao, Z.: Research on the theoretical approach to innovative policy assessment - a perspective based on the logical framework of public policy assessment. Sci. Res. 32(2), 195–202 (2014)
Yong’an, Z., Tuo, Z.: Study on quantitative evaluation of policies for mass entrepreneurship and innovation by universal enterprise - Take 10 dual-creation policy intelligence in 2017 as an example
Zijun, M., Hong, M.: Comparative analysis of artificial intelligence policy at home and abroad from the perspective of policy tools 39(04), 74–140 (2020)
Wei, W., Yanfa, Z., Lei, X.: Quantification research on the text of artificial intelligence policy in china: the status of policy and the trend of frontiers. Scientific and Technological Progress and Countermeasures 1–10 (2021)
Feng, H., **aoni, Q., **aoyan, W.: Quantitative evaluation of robotics industry policy based on PMC index model - take 8 robotic industry policy intelligence as an example. Intell. J. 39(01), 121–129 (2020)
Yibo, L., Yuhang, K., Shuxuan, W.: Technical opportunity discovery and visual identification based on co-existing analysis. Sci. Res. Manag. 33(04), 80–85 (2012)
Wei, L.: Evaluation of the Policy Effect of China’s Photovoltaic Industry Based on Text Mining Technology
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Miao, G., Wang, S., Cui, C. (2021). Logistics Policy Evaluation Model Based on Text Mining. In: Gao, Y., Liu, A., Tao, X., Chen, J. (eds) Web and Big Data. APWeb-WAIM 2021 International Workshops. APWeb-WAIM 2021. Communications in Computer and Information Science, vol 1505. Springer, Singapore. https://doi.org/10.1007/978-981-16-8143-1_10
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DOI: https://doi.org/10.1007/978-981-16-8143-1_10
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