Research on micro-blog character analysis based on Naïve Bayes

Yun Liu; Tong Liu; Yanbo J. Wang

doi:10.1117/12.2197233

6 July 2015 Research on micro-blog character analysis based on Naïve Bayes

Yun Liu, Tong Liu, Yanbo J. Wang

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96312F (2015) https://doi.org/10.1117/12.2197233
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

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.

Citation Download Citation

Yun Liu, Tong Liu, and Yanbo J. Wang "Research on micro-blog character analysis based on Naïve Bayes", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96312F (6 July 2015); https://doi.org/10.1117/12.2197233

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