ComBERT is a pre-trained NLP model to analyse sentiment of commodity specific news.

It is built by further training the BERT language model in the commodity news domain, we use a large open source commodity news corpus and re-tune for commodity specific sentiment classification.

For more details, please see the paper ComBERT (Paper Pending)

The model will give softmax outputs for three labels: positive, negative or neutral.