Stemming vs. Lemmatization: What Healthcare Text Data Taught Me About NLP Choices

Natural Language Processing (NLP) is used to analyse healthcare data. But how should we represent words to machines? Do we chop words down to their rough stems, or reduce them to linguistically valid forms through lemmatization? To explore this trade-off, I ran a focused experiment comparing stemming and lemm atization on healthcare text data.