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Text classification using NLP methods
Hi everyone,
I have an excel sheet with a column describing an error and I have to asign a label to it (there is a total of 50 labels). I was wondering if it's possible to create a model to train with tNLPModel and then automatically asign the label to a description when the model will be train (I have around +50k already labelised row) ? I did read the documentation but I can't figure it out if it's matching with my issue. I didn't found much example on the web with similar issue.
Thanks in advance !
Antoine

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Hello,
The tNLPModel component uses an input in CoNLL format and automatically generates token-level features to create a model for classification tasks like Named Entity Recognition (NER).
Could you please set your case with an example? Adding labels automatically?
Best regards
Sabrina
