Machine Learning System can detect X with such high accuracy and with so few false positives as to be actually useful.
Frankly detecting X is basically defined as getting better than random chance. If you decide that anybody who posts "I am so sad" is suicidal, you'll bound to get a few hits, so there. I developed an algorithm that can detect suicide and depression. The problem here is that it's useless unless it's really really accurate.