Analysis of e-commerce of small and medium-sized businesses with research on user comments based on text mining

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dc.contributor.advisorGál, Tímea
dc.contributor.authorYu, Tianhong
dc.contributor.departmentDE--Gazdaságtudományi Kar
dc.date.accessioned2022-10-24T13:06:25Z
dc.date.available2022-10-24T13:06:25Z
dc.date.created2022-10-18
dc.description.abstractThis paper analyzes the development of e-commerce in small and medium-sized enterprises. Gives examples of problems encountered by small and medium-sized enterprises in the development of e-commerce today. Text mining was used to analyze comments on SMEs on e-commerce platforms. Using text mining, this study counted the top 300 frequent core keywords from user comments. Through reading the literature and analyzing the data, this paper gives reasonable suggestions for small and medium-sized enterprises that want to develop e-commerce today.
dc.description.courseBSc in Business Administration and Management
dc.description.degreeBSc/BA
dc.format.extent51
dc.identifier.urihttps://hdl.handle.net/2437/338084
dc.language.isoen
dc.subjecte-commerce
dc.subjectsmall and medium-sized businesses
dc.subject.dspaceDEENK Témalista::Közgazdaságtudomány::Marketing
dc.titleAnalysis of e-commerce of small and medium-sized businesses with research on user comments based on text mining
dc.title.translatedKis- és középvállalkozások e-kereskedelmének elemzése a felhasználói hozzászólások alapján szövegbányászattal
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