Products Ranking Through Aspect-Based Sentiment Analysis of Online Heterogeneous Reviews

With the rapid growth of online shopping platforms, more and more customers intend to share their shopping experience and product reviews on the Internet. Both large quantity and various forms of online reviews bring difficulties for potential consumers to summary all the heterogenous reviews for re...

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Veröffentlicht in:	Journal of systems science and systems engineering 2018-10, Vol.27 (5), p.542-558
Hauptverfasser:	Guo, Chonghui, Du, Zhonglian, Kou, Xinyue
Format:	Artikel
Sprache:	eng
Schlagworte:	Complexity Consumers Customers Customization Data mining Economic Theory/Quantitative Economics/Mathematical Methods Engineering Graph theory Operations Research/Decision Theory Product reviews Ranking Search algorithms Sentiment analysis
Online-Zugang:	Volltext
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