Development of Bilingual Sentiment and Emotion Text Classification Models from COVID-19 Vaccination Tweets in the Philippines

• Main Authors: Co, Nicole Allison S, Estuar, Ma. Regina Justina, Tan, Hans Calvin L, Tan, Austin Sebastien, Abao, Roland P, Aureus, Jelly P
• 格式: text
• 出版: Archīum Ateneo 2022
• 主題: Covid-19; Social computing; Social media; NLP; Sentiment analysis; Emotion analysis; Communication; Computer Engineering; Digital Communications and Networking; Engineering; Social and Behavioral Sciences; Social Media
• 在線閱讀: https://archium.ateneo.edu/discs-faculty-pubs/339; https://doi.org/10.1007/978-3-031-05061-9_18
• 機構: Ateneo De Manila University

Social media can be used to understand how the public is responding to the ongoing nationwide COVID-19 vaccination campaign, allowing policymakers to respond effectively through informed decisions. However, conducting social media analysis in the Philippine-context presents a challenge because natur...