A Natural Language Processing (NLP) project for sentiment analysis that classifies text into positive, negative, or neutral sentiments. The project uses TF-IDF for feature extraction and applies machine learning models including Logistic Regression and Linear Support Vector Classifier within a pipeline for efficient training and evaluation.
