Ensemble method for online sentiment classification using drift detection-based adaptive window method

• Main Authors: Rabiu, Idris, Salim, Naomie, Nasser, Maged, Saeed, Faisal, Alromema, Waseem, Awal, Aisha, Joseph, Elijah, Mishra, Amit
• Format: Conference or Workshop Item
• Published: 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/99878/; http://dx.doi.org/10.1007/978-3-030-98741-1_11
• Institution: Universiti Teknologi Malaysia

Textual data streams have been widely applied in real-world applications where online users’ expressed their opinions for online products. Mining this stream of data is a challenging task for researchers as a result of changes in data distribution, a phenomenon widely known as concept drift. Most of...