Causality, NLP, Machine Learning, Deep Dives, Thoughts And Theory.
confounding properties were present in text data. It is important to note that when using NLP to adjust for confounding, this requires strong assumptions around ignorability, especially because text as a confounder is applied to settings where only observational data is available. This means that