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dc.contributor.authorShashank Singh, 21SCSE1430015
dc.contributor.authorVaibhav Singh, 21SCSE1430024
dc.contributor.authorSatyam Anand, 21SCSE1430027
dc.date.accessioned2024-09-17T07:21:56Z
dc.date.available2024-09-17T07:21:56Z
dc.date.issued2024-04
dc.identifier.urihttp://10.10.11.6/handle/1/18038
dc.descriptionSCHOOL OF COMPUTER APPLICATION AND TECHNOLOGY GALGOTIAS UNIVERSITY, GREATER NOIDAen_US
dc.description.abstractNowadays, the world is becoming more digital and customers are relying on online products which helps them to simplify their living. Therefore, the reviews provided on a product becomes an important aspect to attract and maintain customers and build a novel strategy to acquire higher position in the market. The purpose of this study is to investigate the different processes and techniques used in gathering requirements, designing, implementing and testing the reviews provided on a particular product to gain insights on customer experiences. It can be attained by using sentiment analysis and opinion mining which is defined is the computational study of people’s opinions, sentiments, attitudes, and emotions expressed in written language. It is one of the most active research areas in natural language processing and text mining in recent years..en_US
dc.language.isoen_USen_US
dc.publisherGalgotias Universityen_US
dc.subjectSentiment Analysisen_US
dc.subjectE-commerce Reviewsen_US
dc.titleSentiment Analysis and Opinion Mining on E-commerce Reviewsen_US
dc.typeTechnical Reporten_US


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