Sentiment analysis : an automatic contextual analysis and ensemble clustering approach and comparison

• Main Authors: AL-Sharuee, Murtadha Talib, Liu, Fei, Pratama, Mahardhika
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Text Mining; Sentiment Analysis
• Online Access: https://hdl.handle.net/10356/141504
• Institution: Nanyang Technological University

Product reviews are one of the most important resources to determine public sentiment. The existing literature on review sentiment analysis mostly utilizes supervised models, which usually suffer from domain-dependency and require expensive manual labelling effort to provide training data. This arti...