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Customer Satisfaction Sentiment Analysis For Online Transactions In Bangladesh Using Machine Learning

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dc.contributor.author Pias, Md. Almahmud
dc.date.accessioned 2025-09-13T06:53:35Z
dc.date.available 2025-09-13T06:53:35Z
dc.date.issued 2024-07-10
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14427
dc.description Thesis en_US
dc.description.abstract Online transactions are becoming increasingly popular in Bangladesh, starting from shopping, we transact online. Online payment plays a very important role in paying any shopping bill. To find any possible problems and enhance the user experience as a whole, it is crucial to comprehend the degree of client satisfaction with these kinds of transactions. With an emphasis on aspects including platform usability, transaction security, and overall customer experience, the poll sought to determine Bangladesh's degree of customer satisfaction with online transactions. A report based on a sample of customers through which we understood how customers are satisfied with online payment and got an idea to understand their opinion. survey's findings indicate that Bangladesh's mean consumer satisfaction rating for online transactions is 6.2096813773 out of 10. Through this we came to know that all the customers of Bangladesh are satisfied with online shopping and everyone can improve from everyone's place. Through this test, we can know more about the value and satisfaction of online transactions in Bangladesh. They have largely responded to improving customer experience and digital transactions. All in all, a satisfactory established informed that online shopping plays an important role en_US
dc.description.sponsorship DIU en_US
dc.publisher DAFFODIL INTERNATIONAL UNIVERSITY en_US
dc.subject Customer Satisfaction en_US
dc.subject Sentiment Analysis en_US
dc.subject Online Transactions en_US
dc.subject Bangladesh E-Commerce en_US
dc.subject Machine Learning en_US
dc.title Customer Satisfaction Sentiment Analysis For Online Transactions In Bangladesh Using Machine Learning en_US
dc.type Thesis en_US


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