Combination of Support Vector Machine and Lexicon-Based Algorithm in Twitter Sentiment Analysis

• Autori principali: Muhammadi, Rindu Hafil, Laksana, Tri Ginanjar, Arifa, Amalia Beladinna
• Natura: UMS Journal (OJS)
• Lingua: eng
• Pubblicazione: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2022
• Soggetti: sentiment analysis; tapera; public housing; lexicon-based; confusion matrix
• Accesso online: https://journals.ums.ac.id/index.php/khif/article/view/15213

Data from the Ministry of Civil Works and Public Housing (Kementrian PUPR) in 2019 shows that around 81 million millennials do not own houses. Government Regulation Number 25 of 2020 on the Implementation of Public Housing Savings, commonly called PP 25 Tapera 2020, is one of the government's e...