Research on Characteristics Analysis and Classification of Microblog Users
- 10.2991/icmmita-15.2015.142How to use a DOI?
- Microblog Users; Feature Detection; Classification Algorithm; C4.5 Decision Tree
Microblog has become an important part of social media, a large number of users send and thus spread information on this platform. Nowadays, the network environment of microblog is impacted by the presence of anomalies in users seriously. So the research on identifying the types of microblog users is of great significance. Based on the example of microblog, this paper selects some microblog users as research objects and thus analyzes and extracts the features of the selected users. Meanwhile, it uses statistical methods and classification methods in data mining to analyze user data. With the breakthrough point, the classification method C4.5 Decision Tree, this paper has trained the history data to form a classifier to make prognostic classification of new sample, which has realized high accuracy.
- © 2015, 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/).
Cite this article
TY - CONF AU - Xin Jiang AU - Wenmin Li PY - 2015/11 DA - 2015/11 TI - Research on Characteristics Analysis and Classification of Microblog Users BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 754 EP - 759 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.142 DO - 10.2991/icmmita-15.2015.142 ID - Jiang2015/11 ER -