A Neutrosophic Approach to Improving Sentiment Classification Accuracy in Social Media Analytics

A Neutrosophic Approach to Improving Sentiment Classification Accuracy in Social Media Analytics

Traditional sentiment analysis methods often struggle with the inherent ambiguity and uncertainty present in social media text, where opinions can be simultaneously positive, negative, and neutral. This paper proposes a novel neutrosophic-based approach to sentiment classification that addresses the...

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Bibliographic Details
Main Authors: Raad A. Qasim, Sajjad abbas, Habeeb Noori Jumaah, Maher Khalaf Hussein, Huda E. Khalid
Format: Article
Language:English
Published: University of New Mexico 2025-07-01
Series:Neutrosophic Sets and Systems
Subjects:
neutrosophic logic
sentiment analysis
social media analytics
uncertainty environment
natural language processing
Online Access:https://fs.unm.edu/NSS/37SocialMedia.pdf
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