Today I read a paper titled “An evaluation of Naive Bayesian anti-spam filtering”
The abstract is:
It has recently been argued that a Naive Bayesian classifier can be used to filter unsolicited bulk e-mail (“spam”).
We conduct a thorough evaluation of this proposal on a corpus that we make publicly available, contributing towards standard benchmarks.
At the same time we investigate the effect of attribute-set size, training-corpus size, lemmatization, and stop-lists on the filter’s performance, issues that had not been previously explored.
After introducing appropriate cost-sensitive evaluation measures, we reach the conclusion that additional safety nets are needed for the Naive Bayesian anti-spam filter to be viable in practice.