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Right, the model is not perfect with limited training dataset I have (we hand labeled 4,000 - which is already tons of work for a side project). But the intenti
by tracyhenry 5y ago
Right, the model is not perfect with limited training dataset I have (we hand labeled 4,000 - which is already tons of work for a side project). But the intention was to filter out negative ones.
- jimmySixDOF 5y agoYou did a stellar job here thanks so much for this addition to the community ! On labeling, if you have a method statement or some go-by referance I am sure you would get some support here - I know I would help ! Maybe package a few blocks of 100 unlabeled comments with a readme & see what happens ?
- thevagrant 5y agoIt's not so bad if you leave the negative comments. I often find negative reviews/comments quite informative.
- indigodaddy 5y agoIt got some titles completely wrong too. For instance, “Open: an autobiography” by Andre Agassi was erroneously listed high in the title list as “139 comments,” however most of the comments are recommending various titles that start with “Open” many/mostly related to titles with “Open source” on the name— but the ML is attributing them all to the Agassi book..