Detecting Offensive Language in English, Hindi, and Marathi using Classical Supervised Machine Learning Methods and Word/Char N-grams

Keyphrases

• Supervised Machine Learning 100%
• N-gram 100%
• Learning Words 100%
• Hindi 100%
• Offensive Language 100%
• Char-N 100%
• Marathi 100%
• Random Forest 66%
• Support Vector Machine Classifier 66%
• Offensive Language Identification 66%
• Logistic Regression 33%
• Machine Learning Models 33%
• Unigram 33%
• Methodological Support 33%
• Hate Speech 33%
• Multilayer Perceptron 33%
• AdaBoost Classifier 33%
• HASOC 33%
• Speech Language Identification 33%
• Binary Support 33%

Computer Science

• Machine Learning 100%
• Language Identification 66%
• Support Vector 66%
• binary classifier 33%
• Random Decision Forest 33%
• Random Forest Classifier 33%
• Logistic Regression 33%
• Multilayer Perceptron 33%