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

dc.contributor.authorRudro, Mahafozur Rahman
dc.contributor.authorWahid, Md Faysal
dc.contributor.authorIslam, Md Ariful
dc.contributor.authorRia, Nushrat Jahan
dc.date.accessioned2024-03-12T03:13:01Z
dc.date.available2024-03-12T03:13:01Z
dc.date.issued2023-08-03
dc.description.abstractLSTMs 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11666
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11666
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectMerchants
dc.subjectMachine learning
dc.subjectDeep learning
dc.title3A comparative Study on Sentiment Analysis for Bengali Language Based on LSTM in F-Commerce
dc.typeArticle

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