
Measuring e-Commerce service quality from online customer review using sentiment analysis
Author(s) -
Puspita Kencana Sari,
Andry Alamsyah,
Sulistyo Wibowo
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/971/1/012053
Subject(s) - servqual , service quality , dimension (graph theory) , computer science , personalization , service (business) , quality (philosophy) , reliability (semiconductor) , naive bayes classifier , sentiment analysis , perception , e commerce , chart , quality of service , world wide web , marketing , artificial intelligence , psychology , business , statistics , mathematics , support vector machine , philosophy , computer network , power (physics) , epistemology , quantum mechanics , physics , neuroscience , pure mathematics