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Need some advice for training BERT to classify multiple sentiments.[PROJECT]

Basically, so far, I have been trying to train BERT on a very long document by cutting start, middle , and end sections of article so it could be fit into the limited input dimension of 512. However; the performance has been dismal for most of the time. So far, I am not sure if using LSTM+GRU was a better approach than this. But are there other ways to train it than just cutting up the article? When I googled for an alternative approach, I couldn’t find much…

submitted by /u/shstan
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.