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 :