Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT)

Research article (International Journal of Advanced Computer Science and Applications, 2022) · cited 14× · AI/ML
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Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT)

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Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT) is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT). Retrieved May 24, 2026, from https://4ort.xyz/entity/aspect-based-sentiment-analysis-for-bengali-text-using-bidirectional-encoder-representations-from-transformers-bert
MLA “Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/aspect-based-sentiment-analysis-for-bengali-text-using-bidirectional-encoder-representations-from-transformers-bert.
BibTeX @misc{4ortxyz_aspect-based-sentiment-analysis-for-bengali-text-using-bidirectional-encoder-representations-from-transformers-bert_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT)}}, year = {2026}, url = {https://4ort.xyz/entity/aspect-based-sentiment-analysis-for-bengali-text-using-bidirectional-encoder-representations-from-transformers-bert}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Aspect-based Sentiment Analysis for Bengali Text using Bidirectional Encoder Representations from Transformers (BERT) — https://4ort.xyz/entity/aspect-based-sentiment-analysis-for-bengali-text-using-bidirectional-encoder-representations-from-transformers-bert (retrieved 2026-05-24)

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