With a slight delay of a week, here's the third installment in a text classification series. This one covers text classification using a fine-tunned BERT model. The whole tutorial is made up of a Jupyter Notebook stored on Google Colab so you could start doing data science right away.
Notebooks: https://github.com/adam0ling/twitter_...
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Timestamps:
Intro 00:00
Showcase: 00:25
Google Colab: 00:58
Notebook Overview: 01:43
Imports: 02:00
Data: 03:06
Data Preparation: 06:33
Modelling: 17:19
First Iteration Results: 21:49
Model Saving: 23:54
Neuron Weights and Loss: 26:00
Second Training Iteration: 29:35
Second Training Results: 33:13
BERT vs. other models: 36:45
Modifying BERT: 39:56
Outro: 41:42
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