I need three improved sentiment analysis.
The first one is based on BERT and is better than the traditional model.
The second one is based on BERT multimodal and is better than BERT.
The last one is based on BERT multimodal + Aspect-based sentiment analysis, and is better than BERT multimodal.
Compared with some Chinese sentiment analysis data sets, the mainstream algorithms have important improvements in test_acc, test_loss, F1, etc.
There need to be three or more innovation points in this essay(or paper).
Don’t use “positive”,”negetive” this kind of Binary classification，use Multi classification, like ” Fear “,”Disgust”, “Optimism”, “Surprise”, “Gratitude ,”Sadness”,” Anger”
I need the Code with the essay. I need this paper to be at the level of publication in a general EI journal.
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The first one is based on BERT and is appeared first on Course Hero.