This is a very early proof of concept and any suggestions on how to make it better are welcome!
This is a very early proof of concept and any suggestions on how to make it better are welcome!
Just remove the unnecessary semi-colon at the end of the code ;-)
We initially tried training the classifier only with GitHub based samples and using the user-given tags from there. Although we grouped the tag base into a reasonable number of distinct categories, the way how GitHub users tag their projects turned out to be just too inconsistent and often unrelated to the titles, so manual tagging was seen as a better option for getting decent results fast enough.
If you have any more specific questions feel free to drop me a mail to arturs@finch.io
Getting to the front page via 'Show HN' was very helpful to us. It'd be nice (for others too) to be able to both replicate that success, and soften the blow when you get a grand total of 2 upvotes.