FAKE PRODUCT REVIEW MONITORING SYSTEM USING OPINION MINING

dc.contributor.author	Javed, Syeda Erma Reg # 51801
dc.contributor.author	Saleem, Syeda Rohma Reg # 51861
dc.contributor.author	Khan, Ahmer Javed Reg # 51834
dc.date.accessioned	2023-12-12T07:11:20Z
dc.date.available	2023-12-12T07:11:20Z
dc.date.issued	2021
dc.identifier.uri	http://hdl.handle.net/123456789/16759
dc.description	Supervised by Muhammad Iqbal	en_US
dc.description.abstract	Users have been encouraged to submit consumer feedback after reading online product reviews about their buying experiences on social media. Many e-commerce companies now allow users to leave evaluations or ratings on the products they purchase. Customer reviews have the power to make or break a product's reputation. As a result, firm personnel gain an understanding oftheir product's market position. De9eptive or spiteful reviews are made on the ecommerce site in order to demote or promote the goods. As a result, there may be probable financial losses or a greater degree of corporate growth. We present a project aimed at detecting fake review which contains vulgar and curse words and make the e-commerce site fake review free online shopping centre.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Bahria University Karachi Campus	en_US
dc.relation.ispartofseries	BSCS;MFN 344
dc.title	FAKE PRODUCT REVIEW MONITORING SYSTEM USING OPINION MINING	en_US
dc.type	Project Reports	en_US