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

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

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...

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

Internet

https://hdl.handle.net/10356/168808

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