User Sentiment Analysis in Conversational Systems Based on Augmentation and Attention-based BiLSTM

Research article (Procedia Computer Science, 2022) · cited 23× · AI/ML
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User Sentiment Analysis in Conversational Systems Based on Augmentation and Attention-based BiLSTM

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User Sentiment Analysis in Conversational Systems Based on Augmentation and Attention-based BiLSTM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). User Sentiment Analysis in Conversational Systems Based on Augmentation and Attention-based BiLSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/user-sentiment-analysis-in-conversational-systems-based-on-augmentation-and-attention-based-bilstm
MLA “User Sentiment Analysis in Conversational Systems Based on Augmentation and Attention-based BiLSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/user-sentiment-analysis-in-conversational-systems-based-on-augmentation-and-attention-based-bilstm.
BibTeX @misc{4ortxyz_user-sentiment-analysis-in-conversational-systems-based-on-augmentation-and-attention-based-bilstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{User Sentiment Analysis in Conversational Systems Based on Augmentation and Attention-based BiLSTM}}, year = {2026}, url = {https://4ort.xyz/entity/user-sentiment-analysis-in-conversational-systems-based-on-augmentation-and-attention-based-bilstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): User Sentiment Analysis in Conversational Systems Based on Augmentation and Attention-based BiLSTM — https://4ort.xyz/entity/user-sentiment-analysis-in-conversational-systems-based-on-augmentation-and-attention-based-bilstm (retrieved 2026-05-24)

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