Hierarchical multi-label classification to identify hate speech and abusive language on Indonesian twitter

Keyphrases

• Abusive Language 100%
• Classification Algorithms 25%
• Data Transformation 25%
• Feature Extraction 25%
• Frequency Features 25%
• Hate 25%
• Hate Speech 100%
• Hierarchical Algorithm 25%
• Hierarchical Approach 50%
• Hierarchical Classification 25%
• Hierarchical multi-label Classification 100%
• Indonesian Language 25%
• Indonesian Twitter 100%
• Label Hierarchy 25%
• Multi-label Classification 25%
• N-gram 50%
• Nave Bayes 25%
• Public Space 25%
• Random Tree 25%
• Social Media 50%
• Speech-language 100%
• Support Vector Machine 25%
• Support Vector Machine Algorithm 25%
• Target Category 25%
• Term Frequency 25%
• Twitter 50%
• Unigram 25%

Computer Science

• Classification Algorithm 33%
• Data Transformation 33%
• Decision Trees 33%
• Experimental Result 33%
• Feature Extraction 33%
• Frequency Feature 33%
• Hierarchical Algorithm 33%
• Nave Bayes 33%
• Random Decision Forest 33%
• Social Media 66%
• Support Vector Machine 33%
• Support Vector Machine 33%
• Target Category 33%
• Text Classification 33%
• Twitter 100%