This natural language processing study examined the sentiments of Filipinos in crisis situations using Twitter data. The goal was to identify the prevalent emotional tone, categorize sentiments, and explore variations across different types of crises. Analyzing 10,000 tweets with Orange Software, results show that the dominant public voice is neutral, this is followed by positive and negative tones. This means that Filipinos mainly share information, describe their situations, and seek clarifications during crises. Results also revealed that joy was the most dominant emotion, followed by sadness, trust, surprise, fear, disgust, anticipation, and anger. This means that even in crisis, Filipinos wish people’s safety, pray for the situation and give jokes to lighten the mood. Further, the order of dominant emotions or tone for earthquake, inflation, and typhoon followed a pattern of neutral, positive and negative. Positive sentiment appears highest during earthquakes, suggesting a potential sense of community and resilience in the face of natural disasters. Inflation also elicits a relatively positive response, possibly indicating an understanding of its economic implications and potential for adaptation. However, pandemic generates the lowest positive sentiment, likely due to their widespread impact and associated fear and uncertainty. Negative sentiment peaks during typhoons, reflecting the immediate threat and potential devastation they pose. Earthquakes and pandemics also evoke a significant degree of negativity, while inflation generates the least negative response. This pattern suggests that the perceived level of danger and immediacy plays a crucial role in shaping negative sentiment. These findings offer valuable insights for refining government crisis response strategies. Additionally, this underscores the significance of recognizing and understanding emotions in communication, providing valuable guidance for educators and students.
