Update README.md

README.md

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 - cc-by-nc-sa-4.0
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+# Bengali Fake Review Detection Moedel: 
+
+This model is taken from the paper 'Bengali Fake Reviews: A Benchmark Dataset and Detection System' which introduces 
+the Bengali Fake Review Detection (BFRD) dataset, the first publicly 
+available dataset for identifying fake reviews in Bengali. The dataset consists of 7710 non-fake 
+and 1339 fake food-related reviews collected from social media posts. To convert non-Bengali 
+words in a review a unique pipeline has been proposed that translates English words to their 
+corresponding Bengali meaning and also back transliterates Romanized Bengali to Bengali. 
+We have conducted rigorous experimentation using multiple deep learning and pre-trained transformer 
+language models to develop a reliable detection system. Finally, we propose a weighted ensemble model 
+that combines four pre-trained transformers: *[BanglaBERT](https://huggingface.co/csebuetnlp/banglabert), [BanglaBERT Base](https://huggingface.co/sagorsarker/bangla-bert-base), [BanglaBERT Large](https://huggingface.co/csebuetnlp/banglabert_large)* and *[BanglaBERT Generator](https://huggingface.co/csebuetnlp/banglabert_generator)*.
+
+- The paper **"Bengali Fake Reviews: A Benchmark Dataset and Detection System"** is published in [Neurocomputing](https://www.sciencedirect.com/journal/neurocomputing), a **Q1 journal** by Elsevier (Impact Factor 6).
+
+- **Paper Link**: https://www.sciencedirect.com/science/article/abs/pii/S0925231224005034
+
+
 ## Using this model as a discriminator in `transformers`
 
 ```python