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A Study of Comments Analysis for Marketing Service Improvement

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Social Networking Service (SNS) has become a representative space for individuals to express their opinions since the availability of SNS has increased. Hereupon, users tend to share many information and the growth of information influence various fields in society. Especially, review of products in SNS is highly affecting consumers’ purchase products. Data collected on the Internet are utilized in many areas to predict supplies and demands. In order to provide effective marketing service, this study suggests display visual representations and statistics of comment analysis to avoid wasting time for directly reading and interpreting numerous posts, provide users with convenience of information access and decision making, recommend customized targeting advertisement and practical service improvement to business holders.
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Keywords: BigData; Local Information; Opinion Mining; Social Network

Document Type: Research Article

Affiliations: Department of Multimedia Engineering, Andong National University, Korea

Publication date: November 1, 2016

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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