Building a Simple Sentiment Analysis Model with Python

Recently I built a small sentiment analysis project as part of my learning journey in Artificial Intelligence and Machine Learning. The goal of this project was simple: create a model that can analyze text and predict whether the sentiment is positive or negative. Why I Built This Project While learning machine learning concepts, I realized that the best way to understand them is by building small practical projects. Sentiment analysis is a common beginner NLP project and a great way to understand how text data can be processed by machine learning models. What the Project Does The program takes a piece of text as input and predicts the sentiment. Example: Input: "I love this product" Output: Positive sentiment Technologies Used Python scikit-learn Natural Language Processing (NLP) Project Structure train.py – trains the machine learning model predict.py – predicts sentiment from text input app.py – runs the application vectorizer.pkl – saved text vectorizer sentiment_model.pkl – traine