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This project implements an email spam classifier using BERT (Bidirectional Encoder Representations from Transformers) and TensorFlow. BERT is a powerful pre-trained language model that has shown great success in various NLP (Natural Language Processing) tasks, including text classification.

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email_classifier_using_bert's Introduction

Certainly! Here's an example README file for your GitHub repository that includes information about your BERT-based spam classifier:


BERT Email Spam Classifier

This project implements an email spam classifier using BERT (Bidirectional Encoder Representations from Transformers) and TensorFlow. BERT is a powerful pre-trained language model that has shown great success in various NLP (Natural Language Processing) tasks, including text classification.

Features

  • BERT-based Model: Utilizes the BERT pre-trained model for text encoding.
  • Spam Classification: Predicts whether an email is spam or not spam.

Contributing

Feel free to open issues and pull requests. Contributions are welcome!

Acknowledgments

  • Thanks to the TensorFlow and TensorFlow Hub teams for their powerful tools.

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