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 :
