June 2018
Intermediate to advanced
276 pages
6h 26m
English
We hope it was easy to go through this chapter. Now, as usual, it is practice time. Your job is to try building your own spam detection system. We will guide you through the questions.
In this chapter's GitHub repository, you will find a dataset collected from research done by Androutsopoulos, J. Koutsias, K.V. Chandrinos, George Paliouras, and C.D. Spyropoulos: An Evaluation of Naive Bayesian Anti-Spam Filtering. Proceedings of the workshop on Machine Learning in the New Information Age, G. Potamias, V. Moustakis and M. van Someren (eds.), 11th European Conference on Machine Learning, Barcelona, Spain, pp. 9-17, 2000.
You can now prepare the data:
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