Publication | Closed Access
Opinion Mining on E-Commerce Data Using Sentiment Analysis and K-Medoid Clustering
55
Citations
7
References
2019
Year
Unknown Venue
Customer SatisfactionEngineeringBusiness IntelligenceMultimodal Sentiment AnalysisOnline Customer BehaviorSentiment AnalysisText MiningCustomer ReviewInformation RetrievalK-medoid ClusteringData MiningManagementContent AnalysisSentiment OpinionsE-commerce WebMarketingWeb MiningInteractive MarketingOpinion Aggregation
This study aimed to analyze sentiment opinions to find out the opinions of users on an e-commerce Web. The method used was through analyzing text reviews obtained from customers on an e-commerce website. The algorithm used was k-medoid clustering.
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