Junk Information Recognition Based on Naive Bayes
DOI:
https://doi.org/10.54097/ajst.v6i2.9442Keywords:
Bayesian, Spam, Probability, Classification.Abstract
This work mainly aims to learn and improve the existing methods of identifying spam information. In this work, the fundamental central principle is applied to naive Bayes. The improvement part is to use naive Bayes to achieve automatic recognition and reporting of spam information in the system, as well as a refined classification of spam information. This paper aims to further deal with junk information (illegal information) through naive Bayes, so as to meet the needs of People's Daily life. In the simple junk information recognition, add life elements, so that junk information recognition more life, close to life, service human.
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