[kusmi]

I embedded the sentiment analyzer from Stanford core nlp into a web crawler I wrote, with the idea of instructing the crawler to follow links surrounded by only positive or negative text. Didn't seem all that useful at the time, but now I wonder if it's worth digging up?

[Iv]

I wonder if you could not feed, e.g. reddit comments and identify long chains of respectful conversations for instance.

It could also be a useful moderation tool by pointing out who first started to troll and devolved a conversation into a fece flinging contest.

[divanvisagie]

You may want to train it on some new data then. The data CoreNLP comes trained with is basically yelp review type of stuff, so people talking about a product. Seems to work fine for people talking about other people too. But I think you will get much better results if you train it to actually detect trolls.

[kusmi]

Maybe set up a crowdfund to make the internet's first troll content training corpus.

[Iv]

Try to predict karma scores then?