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Ternary 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

by koide 14y ago

Ternary 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 ago
Pardon 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.