Sentiment Analysis Project

Summary

The practice project for this phase — build a text classifier that predicts sentiment (positive/negative/neutral), comparing a classic approach (TF-IDF + logistic regression) against a modern one (pretrained model).

• 1Find a public sentiment-labeled dataset (product reviews, tweets, etc).
• 2Build both a classic baseline and a pretrained-model-based approach, and compare accuracy.
• 3Write up which approach you'd recommend for production, and why (accuracy vs simplicity vs cost).