For this class, a number of readings are used to reinforce concepts or encourage debate.
Good to read (Online and Books)
- Speech and Language Processing (3rd ed. draft) Dan Jurafsky and James H. Martin URL
- Machine Learning for Humans: Demystifying artificial intelligence & machine learning URL [ML]
- Interpretable Machine Learning: A Guide for Making Black Box Models Explainable. Christoph Molnar URL [ML]
- Natural Language Processing with Python. Steven Bird, Ewan Klein, and Edward Loper URL [NLP]
- Neural Network Methods for Natural Language Processing. Yoav Goldberg [NLP][ML]
- NLP with sklearn. URL [NLP]
Papers
- Fake News Detection on Social Media: A Data Mining Perspective arxiv
- Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter arxiv
- Automatic Detection of Cyberbullying in Social Media Text arxiv
- Automatic Rumor Detection on Microblogs: A Survey arxiv