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Table 1.

Overview of literature review.

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Fig 1.

Aspect-based sentiment analysis process.

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Table 2.

Statistics of cricket dataset.

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Table 3.

Statistics of restaurant dataset.

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Fig 2.

BERT Encoder architecture.

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Fig 3.

Random forest architecture.

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Table 4.

Hyperparameters for tRF-BERT.

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Table 5.

Hyperparameters for BERT.

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Table 6.

Hyperparameters for RoBERTa.

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Fig 4.

tRF-BERT Architecture.

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Table 7.

Aspect detection for cricket dataset.

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Table 8.

Sentiment classification for cricket dataset.

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Table 9.

Aspect detection for restaurant dataset.

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Table 10.

Sentiment classification for restaurant dataset.

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Table 11.

Runtime comparison.

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Table 12.

Accuracy comparison with different tokenizer.

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Table 13.

Accuracy of different models while experimenting for building hybrid model.

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Table 14.

Evaluating this study in relation to prior research on aspect detection in Bengali ABSA.

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