Welcome to Jessica Bowmaster's Portfolio

I built a text classification model that predicts sentiment from news articles using multiple feature extraction methods such as CountVectorizer and TF-IDF. I cleaned and prepared the text data through tokenization, stopword removal, and regex-based filtering. The final model achieved solid accuracy and helped demonstrate how NLP can support trend monitoring and content analysis in real-world settings.