An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification

• Main Authors: Nur Syafiqah, Mohd Nafis, Suryanti, Awang
• Format: Article
• Language: English
• Published: IEEE 2021
• Subjects: T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/31646/1/stamp.jsp_tp%3D%26arnumber%3D9387312%26tag%3D1; http://umpir.ump.edu.my/id/eprint/31646/; https://doi.org/10.1109/ACCESS.2021.3069001; https://doi.org/10.1109/ACCESS.2021.3069001
• Institution: Universiti Malaysia Pahang

Sentiment classification is increasingly used to automatically identify a positive or negative sentiment in a text review. In classification, feature selection had always been a critical and challenging problem. Most of the related feature selection for sentiment classification techniques unable to...