XsLiar
  • Member for 2 years, 8 months
  • Last seen more than a month ago
How should I use BERT embeddings for clustering (as opposed to fine-tuning BERT model for a supervised task)
4 votes

Since many of your questions were answered already, I may only share my personal experience with your last question: 7) Is it a good idea to use BERT embeddings to get features for documents that can ...

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Unsupervised Text Classification with Python: Kmeans
1 votes

If you're questions are relatively short and the number of labels are not excessive, I would strongly suggest you take a look at zero-shot classification which can be used to classify data to ...

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Extract data from PDFs
1 votes

I suggest to first parse the pdfs to raw text and then retrieve the information in the next step. I assume you use Python. As commented, you can use PyPDF2 to obtain the raw text and the number of ...

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How to identify the feature that make the model misclassifed in text classification
0 votes

I think we would need more information about the model architecture you are using and the features you engineered for training. Something I like to do when starting to work on text classification ...

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