Textual Analysis for Public Sentiment Toward National Police Using CRISP-DM Framework

• Published in: Revue d'Intelligence Artificielle Vol. 38; no. 1; p. 63
• Main Authors: Latifa Z.S. Sudar, Imbenay, Joash L, Indra Budi, Ramadiah, Amanah, Putra, Prabu K, Santoso, Aris B
• Format: Journal Article
• Language: English
• Published: Edmonton International Information and Engineering Technology Association (IIETA) 01.02.2024
• Subjects: Collaboration; Communication; Data collection; Data mining; Law enforcement; Legislation; Machine learning; Natural language processing; Performance measurement; Police; Public opinion; Sentiment analysis; Social networks; Statistical analysis; Support vector machines; Indonesia

Nowadays, public opinion toward the National Police's (POLRI) image is deteriorating. With the explosive growth of social media in Indonesia, opinions on POLRI-related present-day issues on Twitter easily go viral, influencing sentiments among individuals regarding Indonesian law enforcement. N...