Part of Speech Tagging: NLTK vs Stanford NLP - Gary Sieling

One of the difficulties inherent in machine learning techniques is that the most accurate algorithms refuse to tell a story: we can discuss the confusion matrix, testing and training data, accuracy and the like, but it’s often hard to explain in simple terms what’s really going on. Practically speaking this isn’t a big issue from an engineering perspective, but in a general political sense it is-