Design of judicial public opinion supervision and intelligent decision-making model based on Bi-LSTM.

ABSTRACT: Fuzzy preference modeling in intelligent decision support systems aims to improve the efficiency and accuracy of decision-making processes by incorporating fuzzy logic and preference modeling techniques. While network public opinion (NPO) has the potential to drive judicial reform and progress, it also poses challenges to the independence of the judiciary due to the negative impact of malicious public opinion. To tackle this issue within the context of intelligent decision support systems, this study provides an insightful overview of current NPO monitoring technologies. Recognizing the complexities associated with handling large-scale NPO data and mitigating significant interference, a novel judicial domain NPO monitoring model is proposed, which centers around semantic feature analysis.

SUBMITTER: Guo H 

PROVIDER: S-EPMC11623130 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature