ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of sentiment classification

Research article (The Journal of Supercomputing, 2022) · cited 44× · AI/ML
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ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of sentiment classification

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ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of sentiment classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of sentiment classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/acnn-tl-attention-based-convolutional-neural-network-coupling-with-transfer-learning-and-contextualized-word-representat
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BibTeX @misc{4ortxyz_acnn-tl-attention-based-convolutional-neural-network-coupling-with-transfer-learning-and-contextualized-word-representat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of sentiment classification}}, year = {2026}, url = {https://4ort.xyz/entity/acnn-tl-attention-based-convolutional-neural-network-coupling-with-transfer-learning-and-contextualized-word-representat}, note = {Accessed: 2026-05-24}}
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