Tweets Topic Classification and Sentiment Analysis Based on Transformer-Based Language Models

Keyphrases

• Classification Analysis 100%
• Sentiment Analysis 100%
• Transformer-based Language Models 100%
• Tweets 100%
• Topic Classification 100%
• Topic Sentiment 100%
• Social Media 66%
• Sequence Modeling 66%
• Big Data 33%
• Recent Advances 33%
• Machine Learning 33%
• Mining Machines 33%
• Long-range Dependence 33%
• Transformer-based 33%
• Natural Language Processing 33%
• Information Extraction 33%
• Analytic Technique 33%
• Text Mining 33%
• Fast Decision 33%
• Predictive Analytics 33%
• Data Complexity 33%
• Natural Language Understanding 33%
• Data Ambiguity 33%
• Transformer Architecture 33%
• Modelling Task 33%
• Great Barrier Reef 33%
• Text Topic 33%

Computer Science

• Sentiment Analysis 100%
• Language Modeling 100%
• Natural Language Processing 50%
• Text Mining 50%
• Large Data Set 50%
• Information Extraction 50%
• Analytics Technique 50%
• Wider Acceptance 50%
• Natural-Language Understanding 50%
• Big Data 50%
• Range Dependency 50%
• Predictive Analytics 50%
• Machine Learning 50%
• Learning System 50%
• Seq2Seq 50%