The Impact of online reviews on customer behavior and usage patterns

dc.contributor.advisorChithrarajan C
dc.contributor.authorAngulgamuwa ANK
dc.date.accept2020
dc.date.accessioned2020
dc.date.available2020
dc.date.issued2020
dc.description.abstractOnline review forums and websites are highly popular these days. They enable customers to post online reviews and rate businesses based on their personal experience. These online reviews affect future customer decisions and demands on business. The Influence of the review might be high or low according to its user profile, overall image of the business and the context of the review itself. A well reputed or related user can add more weight to future customer decisions. A business with a popular brand name might not get rejected due to some negative comments. Also these reviews might start a trend on customers visiting that business or leaving that business. The main objective of this research is to predict customer behaviour for a given time period after a certain date using features of previous online reviews. Further to identify trends in customer behaviour and derive trending review topics that persist those trends.en_US
dc.identifier.accnoTH4295en_US
dc.identifier.degreeMSc in Computer Science and Engineeringen_US
dc.identifier.departmentDepartment of Computer Science and Engineeringen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/16494
dc.language.isoenen_US
dc.subjectCOMPUTER SCIENCE – Dissertationsen_US
dc.subjectCOMPUTER SCIENCE AND ENGINEERING - Dissertationsen_US
dc.subjectONLINE REVIEWSen_US
dc.subjectMULTICLASS CLASSIFICATIONSen_US
dc.subjectCHANGE POINT DETECTIONen_US
dc.subjectTENDING TOPICSen_US
dc.subjectFREQUENT ITEMSET MININGen_US
dc.titleThe Impact of online reviews on customer behavior and usage patternsen_US
dc.typeThesis-Full-texten_US

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