3A comparative Study on Sentiment Analysis for Bengali Language Based on LSTM in F-Commerce

dc.contributor.author	Rudro, Mahafozur Rahman
dc.contributor.author	Wahid, Md Faysal
dc.contributor.author	Islam, Md Ariful
dc.contributor.author	Ria, Nushrat Jahan
dc.date.accessioned	2024-03-12T03:13:01Z
dc.date.available	2024-03-12T03:13:01Z
dc.date.issued	2023-08-03
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11666
dc.description.abstract	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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	Merchants	en_US
dc.subject	Machine learning	en_US
dc.subject	Deep learning	en_US
dc.title	3A comparative Study on Sentiment Analysis for Bengali Language Based on LSTM in F-Commerce	en_US
dc.type	Article	en_US