I always prefer to see these things in context (how well does a naive rule-based classifier do? what's the P/R/F-score i.e. how many Apples are apples and apple

I always prefer to see these things in context (how well does a naive rule-based classifier do? what's the P/R/F-score i.e. how many Apples are apples and apples are Apples? What about Apple Records?) It's still fun to remember how quick and easy something like this is though. Any interest in similar articles on named entity recognition, sentiment/topic classification and spam filtering? I've been meaning to do a few for a while, but you know how it is.