Nlp.pipe() processing

Are you guys using the nlp.pipe() for pre-processing the text as suggested in the starter notebook? I am using that and tried different models, but can never surpass the 0.7 acuracy barrier :thinking:

Try out the BERT based model from the notebook I just shared:
Should get you above 0.8 I think. Let me know in case of any issues.


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