HIGHLIGHTS
SUMMARY
For the research metrics, the authors adopt the same metrics on BERT model; in the research, "COVID-19 Sensing: Negative Sentiment Analysis on Social Media in China via BERT Model". In the classification process, the data is trained with a pre-trained model; the pre-trained model has been trained with a large dataset to produce a good-quality benchmark dataset. BERT with an additional layer is the trained BERT model with a new dataset, which increases the number of layers and parameters in the BERTBASE model. The tests were carried out with the . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.