Analysis and sequencing of the influence factors of the value of review on the low carbon Library Line Based on SPSS data analysis
- 10.2991/asssd-18.2018.61How to use a DOI?
- Online review sorting, Factor analysis method.
In order to provide users with the most valuable reviews and help them choose their favorite books in mass book online reviews, we need to develop a ranking method to get more effective reviews from a large number of online reviews. The three children's books Dangdang online review data, statistics on the 9 index will affect the effectiveness of the review, spss19.0 as analysis tools, through descriptive statistical analysis, crosstables analysis, factor analysis and statistical analysis method, nine indexes extracted five factors, and their assignment, calculation according to the comprehensive score, ranking score for comments. The results show that the comments with high scores are informative and can provide more effective information to the user.
- © 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 - Mengxin Yi PY - 2018/05 DA - 2018/05 TI - Analysis and sequencing of the influence factors of the value of review on the low carbon Library Line Based on SPSS data analysis BT - Proceedings of the 2018 International Conference on Advances in Social Sciences and Sustainable Development (ASSSD 2018) PB - Atlantis Press SP - 288 EP - 293 SN - 2352-5398 UR - https://doi.org/10.2991/asssd-18.2018.61 DO - 10.2991/asssd-18.2018.61 ID - Yi2018/05 ER -