Ensemble Learning of Deep Bidirectional Transformers \\for Emotion and Psychology analysis of textual \\Data for Social Media Bot detection
Date
2022
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Abstract
Social media platforms can expose influential trends in many aspects of everyday life. However, the trends they represent can represent disinformation. Social bots are one of the significant sources of disinformation in social media. Thus, social bots can pose severe threats to society and public opinion. This research aims to develop machine learning and NLP models to detect bots. In recent years, the growth of social media dictates more attention to contextual content of online comments compared to the bot detection approaches in the past. Advanced natural language processing models and transfer learning is a new approach for social media bot detection in this research.
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Deep Learning, Machine learning, Natural Language Processing, Social Media