This project focuses on semantic analysis and sentiment analysis of textual data.
Semantic Analysis: Understanding the meaning of text by identifying relationships between words and extracting contextual meaning. Sentiment Analysis: Classifying text as positive, negative, or neutral based on the sentiment it conveys. The project utilizes various Natural Language Processing (NLP) and Machine Learning techniques to achieve accurate classification and semantic understanding.