Analysis about the Text Content’s Effect on the Usefulness of Online Comments based on Search Type Products

DOI

10.2991/icmess-18.2018.340How to use a DOI?

Keywords

Comments usefulness; Amazon; Empirical analysis; Search type products

Abstract

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.

Copyright

© 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/).

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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  -