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Is your feature request related to a problem? Please describe.
I would like to add TensorFlow roBERTa - Unsupervised Text Selection notebook in the repo.
Describe the Project you'd like
this notebook does not use selected_text. This notebook only uses the columns text and sentiment. We train a roBERTa model to predict sentiment (pos, neg, neu) from Tweet text achieving 80% accuracy. We then display what part of the text was influencial in deciding whether the text was postive, negative, or neutral. This is unsupervised learning because we are learning the selected_text without using the selected_text.
This unsupervised DL notebook is inspired by Nick's awesome unsupervised ML notebook here and it's similar to my previous unsupervised DL notebook for image recognition here
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Is your feature request related to a problem? Please describe. I would like to add TensorFlow roBERTa - Unsupervised Text Selection notebook in the repo.
Describe the Project you'd like this notebook does not use selected_text. This notebook only uses the columns text and sentiment. We train a roBERTa model to predict sentiment (pos, neg, neu) from Tweet text achieving 80% accuracy. We then display what part of the text was influencial in deciding whether the text was postive, negative, or neutral. This is unsupervised learning because we are learning the selected_text without using the selected_text.
This unsupervised DL notebook is inspired by Nick's awesome unsupervised ML notebook here and it's similar to my previous unsupervised DL notebook for image recognition here