Re:Transfer learning in low-data environments with FloydHub,...
by twillmas on Tuesday December 11, 2018 @02:36PM
(#18658148)
Looks like this task focused on binary sentiment analysis (positive or negative movie reviews) - have you tried this on something with a broader potential output space? This seems relevant for what you’re calling “neural tags” on your client’s customer conversations, which seems more open-ended than simply “positive” or “negative”.
[ Parent
| on HN ]
Re:Transfer learning in low-data environments with FloydHub,...
by jessestcharles on Tuesday December 11, 2018 @02:42PM
(#18658187)
Yes, great insight! The choice to focus on sentiment here was mainly to align with fast.ai’s original research—-hopefully maximizing the generalizability and accessibility of the results.
Internally we have made use of these results to improve a broad set of language tasks, hopefully will be able to publish on those in the coming months as well.