Terrorist Bomb Incident NLP Classifier
Text Classification: Supervised & Unsupervised Learning Approaches | Python A text classifier model that processes and classifies terrorist attack modes would alleviate the intelligence analyst's workload. In this project, I explored Topic Modeling (unsupervised learning approach) as an input to supervised learning classification, as well as model deployment. Dataset: Global Terrorism Dataset (1970 to 2017), Kaggle