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Sentiment-Analysis-using-BERT and Deploy it using REST API

Data Preorocessing:

  • Created dataset for sentiment analysis.
  • Get real-world user reviews by scraping Google Play
  • Use Pandas to convert and save the dataset into CSV files

Sentiment Analysis with BERT:

  • Preprocess text data for BERT and build PyTorch Dataset (tokenization, attention masks, and padding)
  • Use Transfer Learning to build Sentiment Classifier using the Transformers library by Hugging Face
  • Achived accuracy of 87.59%
  • Predict sentiment on raw text

Deploy model using REST API :