A framework to extract keywords from Sina Weibo data for tracking user trail

作者：Liu Jing^*; Yu Wei; Li Shijun

来源：Journal of Information and Computational Science, 2015, 12(1): 51-58.

DOI：10.12733/jics20105065

• Energy efficient
• Location information
• Micro-blog
• Probabilistic modeling
• Sina-weibo
• Time stamps
• Visualization technique

This paper investigates the problem on how to track a microblog user's trail effectively and accurately by using the content of the user's posts. A framework for modeling and extracting location information and time-stamp from Sina Weibo is presented. In this framework, we propose and evaluate a probabilistic model for estimating a user's location in an energy-efficient way. Relying on this framework, current available visualization techniques can be easily applied to show the person tacking information. Finally, a system based on the proposed model is developed and verified. The experiment results show that this system can automatically and accurately mine a person's trail based purely on the content of the user's tweets.

• 出版日期2015