Abstract
With the rapid development of the Internet, an increasing number of users enjoy to shop online and express their reviews on the products and services. Analysis of these online reviews can not only help potential users make rational decisions when purchasing but also improves the quality of products and services. Hence, sentiment analysis for online reviews has become an important and meaningful research domain.
Original language | English |
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Article number | 8667097 |
Pages (from-to) | 43-50 |
Number of pages | 8 |
Journal | IEEE Intelligent Systems |
Volume | 34 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2019 |
Externally published | Yes |
Funding
This research was supported in part by the National Natural Science Foundation of China under Grant 61502545, in part by Research Grants Council of Hong Kong Special Administrative Region, China (UGC/FDS11/E03/16), and in part by the Funding Support to ECS Proposal (RG 23/2017-2018R) of The Education University of Hong Kong.