A simple Sentiment Analysis model built with PyTorch and scikit-learn.
It classifies text into Positive, Negative, or Neutral sentiment.
Overview
This project demonstrates how to train a lightweight neural network for text sentiment classification using:
Bag-of-Words text representation PyTorch for model building and training scikit-learn for preprocessing and feature extraction
The model was trained on a small CSV dataset containing two columns: text (the sentence) and sentiment (label).
