A Visual Approach to Tracking Emotional Sentiment Dynamics in Social Network Commentaries
Ismail Hossain,
Sai Puppala,
Md Jahangir Alam
et al.
Abstract:The expansion of social media has unlocked a real-time barometer of public opinion. This paper introduces a novel framework to analyze sentiment shifts in social network comment sections, a reflection of the broader public discourse over time. Leveraging a pre-trained uncased RoBERTa model, we predict emotional scores from user comments, mapping these to key sentiment trends such as Approval, Toxicity, Obscenity, Threat, Hate, Offensive, and Neutral. Our methodology employs machine learning techniques to train… Show more
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