Research of Clustering Model of Network Public Sentiment based on Suffix Array
- Liang Hu
- Corresponding Author
- Liang Hu
Available Online November 2016.
- https://doi.org/10.2991/ceis-16.2016.61How to use a DOI?
- public sentiment; clustering model; suffix array; network
- 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.
- 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 UR - https://doi.org/10.2991/ceis-16.2016.61 DO - https://doi.org/10.2991/ceis-16.2016.61 ID - Hu2016/11 ER -