How can I fix my NLP model's accuracy issues?
First, can you provide details about the dataset you're using and the specific accuracy issues you're facing?
I'm using a dataset of customer reviews, but the model is misclassifying sentiments.
It sounds like your model might be overfitting or underfitting. Have you tried adjusting the model parameters or using more data?
I've tried tuning the parameters, but it didn't help much. What else can I do?
Consider using techniques like data augmentation, or try different algorithms. Also, ensure your data is well-preprocessed.
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