A novel approach to rate and summarize online reviews according to user-specified aspects
Hsiao-Wei Hu (School of Big Data Management, Soo Chow University, Shihlin Dist., Taipei City, Taiwan), Yen-Liang Chen (Department of Information Management, National Central University, Jhongli District, Taoyuan City, Taiwan), Po-Tze Hsu (Department of Information Management, National Central University, Jhongli District, Taoyuan City, Taiwan)
| Year of publication: |
May 2016
|
|---|---|
| Authors: | Hu, Hsiao-Wei ; Chen, Yen-liang ; Hsu, Po-Tze |
| Published in: |
Journal of electronic commerce research : JECR. - Long Beach, Calif. : Univ., ISSN 1938-9027, ZDB-ID 2136755-3. - Vol. 17.2016, 2, p. 132-152
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| Subject: | Opinion mining | Sentiment analysis | Normalized google distance | K-means | Online reviews | Data Mining | Data mining | Personalisierung | Personalization | Virales Marketing | Viral marketing |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011487666