Analysis about the Text Content’s Effect on the Usefulness of Online Comments based on Search Type Products
- 10.2991/icmess-18.2018.340How to use a DOI?
- Comments usefulness; Amazon; Empirical analysis; Search type products
This article aims at the Amazon comments data for the original object, the processed data as direct object, using SPSS data analysis tool to study the content of online comments about what factors will affect the online comments usefulness of search type products, and thus improve the theories about influence factors of usefulness of online comments. The study found that extreme comment star, products with high scoring and appearance of sigh emotion are significantly positively correlated with the usefulness of online comments, but large rate variance is negatively correlated with the usefulness of online comments. These conclusions can not only provide the Amazon with recommendations to improve the online comment system to improve their competitive advantage, but also provide suggestions for consumers to have a positive and effective buying behavior.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kaigang Yi AU - Ye Yu PY - 2018/06 DA - 2018/06 TI - Analysis about the Text Content’s Effect on the Usefulness of Online Comments based on Search Type Products BT - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018) PB - Atlantis Press SP - 1551 EP - 1557 SN - 2352-5398 UR - https://doi.org/10.2991/icmess-18.2018.340 DO - 10.2991/icmess-18.2018.340 ID - Yi2018/06 ER -