Development of a Natural Language Processing System for Sentiment Analysis

Project Abstract

<p> This project focuses on the development of a natural language processing (NLP) system that performs sentiment analysis on textual data to extract and classify subjective information such as opinions, emotions, and attitudes. The system will utilize machine learning models, lexicon-based approaches, and deep learning techniques to accurately identify sentiment polarity and intensity in diverse text sources such as social media posts, product reviews, and news articles. The project aims to address the challenges of sentiment ambiguity, context sensitivity, and domain adaptation in sentiment analysis. <br></p>

Project Overview