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@@ -14,13 +14,6 @@ that combines four pre-trained transformers: *BanglaBERT, BanglaBERT Base, Bangl
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  The paper **"Bengali Fake Reviews: A Benchmark Dataset and Detection System"** accepted in [Neuroomputing](https://www.sciencedirect.com/journal/neurocomputing), a journal published by Elsevier.
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- ## Repository Structure
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- The repository has two folders:
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- Code: All the codes for deep learning models, transformers, ensemble model and text conversion pipeline are available.
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- Dataset: Contains two excel files (a) fake.xlsx (b) non-fake xlsx
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- Each file contains two columns: **Review** (collected raw reviews), **Label** (annotations).
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  ## Dataset Statistics
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  - Annotated by 4 native Bangla speakers with more than 90% trustworthiness score.
 
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  The paper **"Bengali Fake Reviews: A Benchmark Dataset and Detection System"** accepted in [Neuroomputing](https://www.sciencedirect.com/journal/neurocomputing), a journal published by Elsevier.
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  ## Dataset Statistics
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  - Annotated by 4 native Bangla speakers with more than 90% trustworthiness score.