Emotional variance analysis: a new sentiment analysis feature set for artificial intelligence and machine learning applications

• Main Authors: Tan, Leonard, Tan, Ooi Kiang, Sze, Chun Chau, Goh, Wilson Wen Bin
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Medicine; Clustering Algorithm; Sentiment Analysis
• Online Access: https://hdl.handle.net/10356/168808
• Institution: Nanyang Technological University

Sentiment Analysis (SA) is a category of data mining techniques that extract latent representations of affective states within textual corpuses. This has wide ranging applications from online reviews to capturing mental states. In this paper, we present a novel SA feature set; Emotional Variance Ana...