Sentiment Analysis of the PeduliLindungi on Google Play using the Random Forest Algorithm with SMOTE

Author:

Pribadi Muhammad Rizky1,Manongga Danny2,Purnomo Hindriyanto Dwi2,Setyawan Iwan2,Hendry 2

Affiliation:

1. Universitas Multi Data Palembang,Informatic,Palembang,Indonesia

2. Satya Wacana Christian University,Information Technology,Salatiga,Indonesia

Publisher

IEEE

Reference23 articles.

Cited by 8 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. Sentiment Analysis of Social Media for Indonesian m-Health PeduliLindungi Mobile-Apps(PLMA) with Lexicon-Based and Support Vector Machine Approach;2023 IEEE 9th Information Technology International Seminar (ITIS);2023-10-18

2. Effect of TF-IDF Extraction and Application of SMOTE on Model Performance in Detecting Spam Email;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

3. Assessing User Experience of Indonesian m-Health PeduliLindungi Mobile-Apps with the User-Centered Cognitive Walkthrough Approach;2023 10th International Conference on ICT for Smart Society (ICISS);2023-09-06

4. Understanding e-Service Quality Dimension of Indonesian m-Health PeduliLindungi Mobile Apps with M-S-QUAL Framework;2023 10th International Conference on ICT for Smart Society (ICISS);2023-09-06

5. Performance Comparison of Support Vector Machine and Random Forest Using Delta TF-IDF on Sentiment Classification of Tiket.com Reviews;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26

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