Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Research of Clustering Model of Network Public Sentiment based on Suffix Array

Authors
Liang Hu
Corresponding Author
Liang Hu
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.61How to use a DOI?
Keywords
public sentiment; clustering model; suffix array; network
Abstract
According to the characteristics of the network public sentiment in Chinese colleges and universities, a clustering model of network public sentiment is proposed. This paper extracts the keywords from the network text based on suffix array algorithm, combines with the principle of locality and clustering of point position, and then analysis the text of public sentiment that could facilitate the management to understand the network public sentiment focus in the college and university students.
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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.61How 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  - Liang Hu
PY  - 2016/11
DA  - 2016/11
TI  - Research of Clustering Model of Network Public Sentiment based on Suffix Array
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.61
DO  - https://doi.org/10.2991/ceis-16.2016.61
ID  - Hu2016/11
ER  -