Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Study of Keyword Correlation based on Information Analysis

Authors
Maoguo Chen, Shuxin Zheng, Zhongguo Zhang, Weiwei Xu
Corresponding Author
Shuxin Zheng
Available Online December 2018.
DOI
10.2991/tlicsc-18.2018.83How to use a DOI?
Keywords
support degree; correlation analysis; keywords co-occurrence.
Abstract

This paper extracts keywords, takes keyword frequency statistics and analyzes correlation by collecting index texts from student books in the library and questionnaires to understand college students’ preference interests, value orientations and hotspots. Thereby, they can further understand the reading tendency of college students, summarize their reading characteristics and then sort and process them, and provide students with accurate reading information services and book recommendations, and provide reading guidance for students.

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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Volume Title
Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
10.2991/tlicsc-18.2018.83
ISSN
1951-6851
DOI
10.2991/tlicsc-18.2018.83How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Maoguo Chen
AU  - Shuxin Zheng
AU  - Zhongguo Zhang
AU  - Weiwei Xu
PY  - 2018/12
DA  - 2018/12
TI  - Study of Keyword Correlation based on Information Analysis
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 512
EP  - 517
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.83
DO  - 10.2991/tlicsc-18.2018.83
ID  - Chen2018/12
ER  -