Sentiment analysis of hate speech as an information tool to prevent riots and environmental damage

Keyphrases

• Sentiment Analysis 100%
• Environmental Damage 100%
• Hate Speech 100%
• Information Tools 100%
• Riots 100%
• F1 Score 66%
• Random Forest Classifier 50%
• Support Vector Machine Classifier 50%
• Accuracy Score 50%
• Social Media 33%
• Twitter 33%
• Recall Score 33%
• Precision Score 33%
• Hate Speech Detection 33%
• Indonesian 16%
• Indonesia 16%
• Popular 16%
• Republic of Indonesia 16%
• Tweets 16%
• Support Vector Machine Algorithm 16%
• Negative Emotions 16%
• Random Forest Algorithm 16%
• Kernel Type 16%
• Linear Kernel 16%
• Gini Coefficient 16%
• Positive Emotions 16%
• President of the Republic 16%
• Twitter User 16%
• Joko Widodo 16%
• Environmental Destruction 16%
• Tree number 16%
• Mass Demonstrations 16%
• Score Accuracy 16%
• Kernel Set 16%

Computer Science

• Sentiment Analysis 100%
• Support Vector Machine 100%
• Environmental Damage 100%
• Information Tool 100%
• Random Forest Classifier 75%
• Speech Detection 50%
• Twitter 25%
• Focused Research 25%
• Random Decision Forest 25%
• Environmental Destruction 25%