Data extraction from social media for sentiment analysis in order to predict sales and correlated items for fashion industry

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dc.contributor.advisorPremaratne SC
dc.contributor.authorKumanayaka CS
dc.date.accept2019
dc.date.accessioned2019
dc.date.available2019
dc.date.issued2019
dc.description.abstractThese days’ Social media is being very popular for marketing. One of the most popular social media platforms is Facebook. Most of the Fashion brand have Facebook pages. Consumer expresses their feeling using comments and emotional buttons. The user interacts with the brand page using post, like, share comments. The analyzed data can give support to decision makers to the evaluation of the customer’s feedback, identify potential customers and predict sales item for the upcoming month and predict correlated items. The purpose of this paper is to explain how to extract and prepare data collected on Facebook to perform sentiment Analysis.en_US
dc.identifier.accnoTH3891en_US
dc.identifier.citationKumanayaka, C.S. (2019). Data extraction from social media for sentiment analysis in order to predict sales and correlated items for fashion industry [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/15956
dc.identifier.degreeMSc in Information Technologyen_US
dc.identifier.departmentDepartment of Information Technologyen_US
dc.identifier.facultyITen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/15956
dc.language.isoenen_US
dc.subjectINFORMATION TECHNOLOGY-Applicationsen_US
dc.subjectSOCIAL MEDIA NETWORKSen_US
dc.subjectFACEBOOK-Analysisen_US
dc.subjectCONSUMER EDUCATIONen_US
dc.subjectCONSUMERS-Information Servicesen_US
dc.titleData extraction from social media for sentiment analysis in order to predict sales and correlated items for fashion industryen_US
dc.typeThesis-Full-texten_US

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Master of Science in Information Technology