I've been trying to come up with a solution to detect violations of media ethics in news articles. For example, I need to detect if an article has mentioned the name of a victim of rape. So far, I've tried to perform a binary classification using a Multinomial Naive Bayes classifier with sklearn. However, it does not produce very accurate results and I believe this is because there are no clear-cut features to be used for classifying. I really appreciate if someone can point me in the right direction or give me some tips on how to proceed.
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$\begingroup$ I think this is a very hard problem to solve, and I am not sure you will get any answers with practical advice, despite it being an interesting goal. $\endgroup$– Neil SlaterSep 23, 2018 at 6:14
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$\begingroup$ @NeilSlater I think the same. It seems my only option is to use NLP and pattern matching. $\endgroup$– EpsilonSep 24, 2018 at 6:38
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