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Not an NLP guy by any means, but aren't we at the point where we can at least guess sentiment algorithmically? Couldn't you combine that with the commenter's hi
by drumdance 14y ago
Not an NLP guy by any means, but aren't we at the point where we can at least guess sentiment algorithmically? Couldn't you combine that with the commenter's history, the length of the post and the presence of charged words such as "nonsense" and "silly?"
- koide 14y agoTernary sentiment detection rates are currently around 30-40% for Spanish. English rates might be better, but not by a lot. That means you give a piece of text to your classifier and it will tell you correctly if has positive, negative or neutral connotation at most 40% of the time. In short, we are still worse than a fair coin toss at sentiment detection. Language is not tricky at all, no sir. Can you see why? :-)
- mikeash 14y agoPardon my nitpicking, but wouldn't the metaphorical "coin toss" in a case where there are three possibilities be 33%, so 40% is very (very) slightly better? For cases with only two outcomes, you can never be worse than a coin toss. If you're achieving 40% accuracy in that case, all you have to do is invert the output of your algorithm and suddenly you're achieving 60% accuracy. Not a terribly important point I'm making, I know.