Hi Experts,
We are dealing with Text Classification Problem. We have around 80K records with around 50 classes. The data is highly imbalanced. It has 2 columns one for description and other contains class.
Till now we have tried following models and techniques:
It is observed that the maximum accuracy we got is 70% (Random Forest and Google Bert).
Is there any scope to improve accuracy?
If yes, what other techniques or models we can use to improve accuracy?
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