Why analytics companies should stop focusing on “accuracy” in automated sentiment analysis
Discussions on automated sentiment analysis “accuracy” are starting to border on the bizarre. In the past couple of weeks, I’ve read claims that SAS’s new tool can identify sentiment “better than most humans”. Just a few days later, I read a post this week claiming that ”sentiment analysis best done by humans”. At the heart of this ongoing debate (and confusion) surrounding automated sentiment analysis is the issue of “accuracy”– the degree to which software can correctly extract positive, negative, or neutral tone from text. Using “accuracy” as a criterion for useful sentiment analysis demonstrates a ...