Airline Tweet Sentiment Prediction Using PySpark ML Pipeline

Learn how to perform Twitter Sentiment Analysis using PySpark! In this tutorial, we build a complete machine learning pipeline to classify airline tweets into positive, negative, or neutral sentiments. We cover: Loading real-world Twitter airline dataset Text preprocessing: tokenization, stopword removal Feature extraction with TF-IDF (HashingTF + IDF) Building a Logistic Regression classifier in PySpark MLlib Evaluating the model using accuracy, precision, recall, and F1-score Perfect for beginners and data enthusiasts who want to learn PySpark NLP and classification step by step. Dataset Link: https://drive.google.com/file/d/1z2Ci...