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Proceedings Paper

Research on micro-blog character analysis based on Naïve Bayes
Author(s): Yun Liu; Tong Liu; Yanbo J. Wang
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Paper Abstract

With the development of Information Technology, people have entered the era of Big Data, and the demand for intelligent information is more intense. How to make computer provide more personalized and efficient service for all walks of life, is something worth exploring. In this paper, we aim to predict user’s character by analyzing the textual content of his/her micro-blog, which is the foundation of Personalized Service. Our study describes the method of creating a prediction model about user’s character by using Bayesian algorithms. Experimental results show that the Naïve Bayes approach is a valid and promoted analytic method in micro-blog character analysis.

Paper Details

Date Published: 6 July 2015
PDF: 5 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96312F (6 July 2015); doi: 10.1117/12.2197233
Show Author Affiliations
Yun Liu, Communication Univ. of China (China)
Tong Liu, Jiangxi Broadcasting TV Network Corp. (China)
Yanbo J. Wang, China Minsheng Banking Corp., Ltd. (China)
Institute of Finance and Banking (China)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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