Scopus Indexed Publications

Paper Details

3A comparative Study on Sentiment Analysis for Bengali Language Based on LSTM in F-Commerce
Mahafozur Rahman, Md Ariful Islam, Md Faysal Wahid, Nushrat Jahan Ria, Sheak Rashed Haider Noori,

LSTMs are a type of RNN cell that regulates incoming and outgoing information using text-processing-specific gates. Online retailers, as we all know, have been extremely popular in recent years. Many social media sites, such as Facebook and Twitter, are increasingly used by online shops. As a result, market monitoring is critical. We can monitor user reviews and satisfaction levels using machine learning and deep learning methods. Many projects have been completed in various languages in the past. We use LSTM to work with Bangla text reviews in our research. We acquire an accuracy of 88 percent with this model.

Deep learning , Sentiment analysis , Analytical models , Social networking (online) , Computational modeling , Blogs , Bit error rate
Journal or Conference Name
2022 13th International Conference on Computing Communication and Networking Technologies, ICCCNT 2022
Publication Year