An Analysis on Emotional Responses and Emerging Patterns on Twitter

Social media sites especially Twitter have emerged as a well-known public platform for receiving information on public perspectives and trends following big incidents. This research investigates Twitter data acquired during the Syrian and Turkish earthquake crises. To collect insights from public comments and associated topics, the proposed method comprises data processing, mood analysis, and trend detection. A multitude of visuals, including word clouds, emotion distributions, and source studies, are applied to analyze critical facts and patterns. The advantages of connecting social media data for emotion analysis and real-time event monitoring are investigated in this research study.