The Microblog Public Opinion Analysis Based on the SVM and the LDA Model Combining
Weilin Xu, Zong Zhu, Li Gao, Jinling Liu
Available Online July 2016.
- https://doi.org/10.2991/iccia-17.2017.14How to use a DOI?
- SVM model; LDA model; Microblog; Public opinion; Clustering.
- 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
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/iccia-17.2017.14 ID - Xu2016/07 ER -