A semi-supervised approach in detecting sentiment and emotion based on digital payment reviews

• Main Authors: Balakrishnan, Vimala, Lok, Pik Yin, Abdul Rahim, Hajar
• Format: Article
• Published: Springer Verlag 2021
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/27117/
• Institution: Universiti Malaya

This paper investigates the sentiment and emotion of digital payment application consumers using a hybrid approach consisting of both supervised and unsupervised machine learning techniques. Support vector machine, random forest and Naive Bayes were modeled for sentiment and emotion analyses, wherea...