I created a sentiment analysis tool to classify tweets into positive, negative, or neutral categories. Using Natural Language Processing (NLP) techniques with NLTK and TF-IDF vectorization, I trained models including Logistic Regression and Support Vector Machines. The solution achieved 90% accuracy and was able to provide real-time insights into public opinion, useful for brands to monitor their reputation.
