A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction

A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction

Sentiment analysis is a task in natural language processing that focuses on identifying and categorizing emotions expressed in text. Despite the remarkable predictive performance achieved by deep learning models in this domain, their limited interpretability poses a significant challenge. Moreover,...

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Bibliographic Details
Main Authors: Thanakorn Chaisen, Phasit Charoenkwan, Cheong Ghil Kim, Pree Thiengburanathum
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
model interpretation
sentiment analysis
zero-shot learning
Online Access:https://ieeexplore.ieee.org/document/10271276/

Internet

https://ieeexplore.ieee.org/document/10271276/

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