Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM

Research article (Knowledge and Information Systems, 2024) · cited 11× · AI/ML
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Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM

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Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM is a scholarly article[1].

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  • Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-sentiment-analysis-via-fusion-of-multiple-embeddings-using-attention-encoder-with-lstm
MLA “Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-sentiment-analysis-via-fusion-of-multiple-embeddings-using-attention-encoder-with-lstm.
BibTeX @misc{4ortxyz_enhancing-sentiment-analysis-via-fusion-of-multiple-embeddings-using-attention-encoder-with-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-sentiment-analysis-via-fusion-of-multiple-embeddings-using-attention-encoder-with-lstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM — https://4ort.xyz/entity/enhancing-sentiment-analysis-via-fusion-of-multiple-embeddings-using-attention-encoder-with-lstm (retrieved 2026-05-24)

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