Food and Drug Public Opinion Mining Algorithm Based on Big Data

Authors

  • Mengli Ruan School of Information Engineering, Shandong Management University, Jinan 250357, China

Abstract

The current algorithm ignores the impact that emotive words have on shaping public opinions and attitudes about food and drugs. To address this problem, a internet public opinion mining algorithm for food and drug safety based on an improved LSA+SVM algorithm is proposed in this paper. A case analysis can indicate the status, causes, and changes of the public opinion of the food and drug Internet. Several guidance countermeasures are proposed which have practical application.

Keywords: Big Data, Food and Drug, Public Opinion, Mining Algorithm

Cite As

M. Ruan, "Food and Drug Public Opinion Mining Algorithm Based on Big Data", Engineering
Intelligent Systems, vol. 29 no. 5, pp. 313-322, 2021.




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Published

2021-09-01

Issue

Vol. 29 No. 5 (2021): International Journal of Engineering Intelligent Systems

Section

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