Research Article
Building User Micro-blog Semantic view based on topic feature extraction
@INPROCEEDINGS{10.4108/eai.18-6-2016.2264147, author={Shunxiang zhang and Shiyao Zhang and Guangli Zhu}, title={Building User Micro-blog Semantic view based on topic feature extraction}, proceedings={Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics}, publisher={ACM}, proceedings_a={SMMA}, year={2016}, month={12}, keywords={micro-blog user micro-blog semantic view topic feature graph user authority micro-blog topic heat}, doi={10.4108/eai.18-6-2016.2264147} }- Shunxiang zhang
Shiyao Zhang
Guangli Zhu
Year: 2016
Building User Micro-blog Semantic view based on topic feature extraction
SMMA
ACM
DOI: 10.4108/eai.18-6-2016.2264147
Abstract
Micro-blog has become an important crowdsensing place for a lot of real-time information dissemination and discussion. This paper explores building user micro-blog semantic view based on topic feature extraction to provide theoretical support for future application such as user clustering, micro-blog topic recommendation. First, user network is built to save the user relationship on micro-blog. In the process of building user network, user authority and micro-blog topic heat are respectively considered to pick up influential users and important topic. Second, the algorithm of generating user micro-blog semantic view is proposed to represent the content of a user historical micro-blog. User topic feature vector and user topic feature matrix are used to help compute topic similarity between differential users and build topic feature graph.