Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics

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
Shunxiang zhang1,*, Shiyao Zhang1, Guangli Zhu1
  • 1: Anhui University of Science & Technology
*Contact email: sxzhang@aust.edu.cn

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.