Multi-label text classification of Indonesian customer reviews using bidirectional encoder representations from transformers language model

Keyphrases

• Indonesian 100%
• Multi-label Classification 100%
• Customer Reviews 100%
• Bidirectional Encoder Representations from Transformers 100%
• IndoBERT 100%
• Transformer-based Language Models 100%
• Feature Representation 80%
• Convolutional Neural Network 40%
• Extreme Gradient Boosting 40%
• F1 Score 20%
• Indonesian Language 20%
• Decision-making Process 20%
• Word2vec 20%
• Classification Task 20%
• Proposed Strategy 20%
• Feature Classifier 20%
• Transformer Model 20%

Computer Science

• Text Classification 100%
• Customer Review 100%
• Bidirectional Encoder Representations From Transformers 100%
• Language Modeling 100%
• Convolutional Neural Network 66%
• Extreme Gradient Boosting 66%
• Experimental Result 33%
• Decision-Making 33%
• Classification Task 33%
• Critical Resource 33%