Analysis and sequencing of the influence factors of the value of review on the low carbon Library Line Based on SPSS data analysis

DOI

10.2991/asssd-18.2018.61How to use a DOI?

Keywords

Online review sorting, Factor analysis method.

Abstract

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.

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  - 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  -