Awarded a Distinction for my MSc dissertation at Birmingham City University, this research applied Machine Learning and NLP to classify over 44,000 COVID-19 lockdown tweets into sentiment categories. By comparing algorithms — from Random Forest and Naïve Bayes to deep learning models like LSTM and BERT — the study measured how effectively social media can reveal public mental health trends. The work highlights how advanced analytics can support institutions in making better, data-driven decisions during crisis situations. Access the RESEARCH HERE.