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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.83
DO  - https://doi.org/10.2991/tlicsc-18.2018.83
ID  - Chen2018/12
ER  -