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Keywords: Optimized aspect and self-attention embedded
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Journal Articles
Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA)
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Journal:
Data Technologies and Applications
Data Technologies and Applications (2024) 58 (3): 447–471.
Published: 29 December 2023
... extraction and classification. Aspect extraction is done using a double-layered convolutional neural network (DL-CNN). The optimized aspect and self-attention embedded LSTM (OAS-LSTM) is used to classify aspect sentiment into three classes: positive, neutral and negative. Findings To detect and classify...
