Natural Language Processing (NLP) – Sentiment Analysis

• Developed a sentiment analysis system for IMDb movie reviews using traditional Machine Learning and Large Language

Models (LLMs).

• Preprocessed text data using TF-IDF and trained Logistic Regression, SVM, and Naive Bayes models.

• Evaluated model performance using Accuracy, Precision, Recall, and F1-Score, and compared results with an LLM-based

approach (ALLAM).

Technologies: Python, Scikit-learn, TF-IDF, Logistic Regression, SVM, Naive Bayes, LLM (ALLAM), Pandas