The Microblog Public Opinion Analysis Based on the SVM and the LDA Model Combining

DOI

10.2991/iccia-17.2017.14How to use a DOI?

Keywords

SVM model; LDA model; Microblog; Public opinion; Clustering.

Abstract

In view of the LDA model, the superiority of long text clustering to Microblog about the use of the user and time to build a long text. According to implied rich semantic information in text and traditional text clustering makes because of the high dimension calculation results inaccurate faults, the SVM model is given and the LDA model combining the similarity, the last is the use of K - Means algorithm for clustering. Combining the experimental results show that the SVM and the LDA model significantly improves the clustering quality and stability

Copyright

© 2017, 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  - Weilin Xu
AU  - Zong Zhu
AU  - Li Gao
AU  - Jinling Liu
PY  - 2016/07
DA  - 2016/07
TI  - The Microblog Public Opinion Analysis Based on the SVM and the LDA Model Combining
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 95
EP  - 98
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.14
DO  - 10.2991/iccia-17.2017.14
ID  - Xu2016/07
ER  -