activebus/BERT_Review

BERT (post-)trained from review corpus to understand sentiment, options and various e-commence aspects .BERT_Review is cross-domain (beyond just laptop and restaurant) language model with one example from randomly mixed domains . Post-trained (fine-tuned) on a combination of 5-core Amazon reviews and all Yelp data, expected to be 22 G in total . It is trained for 4 epochs on bert-base-uncased. It is expected to have similar performance on domain-specific tasks (such as aspect extraction) as BERT-DK, but much better on general tasks such as aspect sentiment classification (different domains mostly share similar sentiment words).,