Classification of Television Programs Based on Public Opinion in Social Media Using Random Forest and Decision Tree

Author:

Kurniadi Dede1,Nurhidayanti Shopi1,Julianto Indri Tri1,Wahyono Teguh2,Septiana Yosep1,Rohayani Hetty3

Affiliation:

1. Institut Teknologi Garut,Department of Computer Science,Garut,Indonesia

2. Satya Wacana Cristian University,Faculty of Information Technology,Salatiga,Indonesia

3. Muhammadiyah Jambi University,Faculty of Science and Technology,Jambi,Indonesia

Publisher

IEEE

Reference26 articles.

1. Komparasi Algoritma Random Forest dan Decision Tree untuk Memprediksi Keberhasilan Immunotheraphy

2. Random Forest and Support Vector Machine based Hybrid Approach to Sentiment Analysis

3. TWITTER SOCIAL MEDIA SENTIMENT ANALYSIS AGAINST BITCOIN CRYPTOCURRENCY TRENDS USING RAPIDMINER

4. Dataset Tweet Sentimen Tayangan Televisi;perdana;Dataset Sentimen Analisis Bahasa Indonesia,2020

5. KNN Imputation Missing Value For Predictor App Rating on Google Play Using Random Forest Method;khaliq;The Int J R Research,2020

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