Text Visualization and LDA Model Based on R Language
Hongjie Li, Peng Cheng, Huiyang Xie
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.95How to use a DOI?
- R Language, Word cloud, community mining, LDA model.
- On the Internet, text is the mainly form of information generated by users, analyzing the text can get a lot of important information. Therefore, the text analysis has become an important means of dealing with text data. In this study, R is an open-source software, could be used to analyze users of sina Weibo and their comments. In order to find hot topics and dig the internal links in the comments, then constitute the network structure, this study used a variety of R language function package to visualize categorized word and word cloud. The LDA theme model is used to analyze the potential relationships among the entries, and provides a solution for analyzing the users' behaviors and habits in the social network and tracking hot topics.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hongjie Li AU - Peng Cheng AU - Huiyang Xie PY - 2016/06 DA - 2016/06 TI - Text Visualization and LDA Model Based on R Language BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.95 DO - https://doi.org/10.2991/mecs-17.2017.95 ID - Li2016/06 ER -