Fine-Grained Feature Extraction in Key Sentence Selection for Explainable Sentiment Classification Using BERT and CNN

Fine-Grained Feature Extraction in Key Sentence Selection for Explainable Sentiment Classification Using BERT and CNN

Online product reviews provide valuable insights into customer sentiment toward products; however, they often contain multiple sentences with redundant and non-essential content, making it harder to extract critical information. Identifying key sentences that directly impact sentiment along with fin...

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Bibliographic Details
Main Authors: Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, Jinglan Zhang, Yuefeng Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
BERT
CNN
fine-grained features
key sentences
sentiment classification
Online Access:https://ieeexplore.ieee.org/document/10964221/
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https://ieeexplore.ieee.org/document/10964221/

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