Sentiment Analysis of Law Enforcement Performance Using Support Vector Machine and K-Nearest Neighbor-Reference-Cited by-同舟云学术

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Sentiment Analysis of Law Enforcement Performance Using Support Vector Machine and K-Nearest Neighbor

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)
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Author:

Istia Sean Semuel,Purnomo Hindriyanto Dwi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8717738/8720946/08720969.pdf?arnumber=8720969

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Driver Behavior Analysis in Simulated Jaywalking and Accident Prediction Using Machine Learning Algorithms;International Journal of Automotive Technology;2024-04-24

2. Identifying Sentiment in Legal Case Judgments using Random Forest Classifier;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

3. A Comprehensive Analysis of Sentiment Analysis: Approaches, Applications, and Classifier Comparisons;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15

4. Flood Evacuation Route Recommendation Using Particle Swarm Optimization Algorithm;2023 International Conference on Information Technology and Computing (ICITCOM);2023-12-01

5. Machine Learning for Mental Health: A Systematic Study of Seven Approaches for Detecting Mental Disorders;2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2023-06-25

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