Efficient Spam Classification Using Machine Learning Methods
DOI:
https://doi.org/10.54097/hset.v34i.5375Keywords:
Spam Classification, Machine Learning Model, Data Classification.Abstract
With the development of the times, we receive more and more information every day, and email is an important carrier of receiving information in our daily life. In this context, some spam came out, including some advertisements and false information. Therefore, it is necessary to classify spam and receive it selectively. Machine learning algorithms can classify and identify spam with high efficiency, and in this paper, we compare six models and achieve a top result of 98.7%. Spam classification can filter out unwanted emails at the receiving end, effectively saving people's time and preventing malicious users from stealing personal information.
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