The objective of this project is to analyze user sentiments from social media posts using Natural Language Processing and machine learning, helping organizations understand public opinion and customer feedback.
Collect social media text datasets Perform text cleaning and preprocessing Apply NLP feature extraction techniques Train sentiment classification models Evaluate sentiment prediction accuracy Categorize data into positive, negative, and neutral Develop sentiment visualization dashboards Implement text input and analysis module Test system with real-time examples Prepare detailed documentation
