You are viewing a single comment's thread from:
RE: SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform - ACM
Probably true, but I think that automating it might also turn out to be pretty challenging. AI isn't great at dealing with nuance yet.
Maybe a hybrid model, where you put the option there but recognize that some people will be better at it (and more willing to participate) than others, so you augment user input with AI.
Hybrid sounds right. A human (or humans?) could also validate or invalidate algorithmic evaluations since the algorithms might miss sarcasm, context clues etc. If it's incentivized, it might reduce the hurdle of the high ask.
Still, I think natural language processing is far enough along, and there are open source projects that a dev could copy to automate something like this more easily than you suggest. Imperfect example, but: there have to be bunches of projects like this demo Tone Analyzer that uses Watson in open source repositories...
Something like this demo might not demonstrate completely accurate results, but wouldn't custom training input allow somebody to make a better model?