Which Is Better Stemming or Lemmatization?

In general, lemmatization offers better precision than stemming, but at the expense of recall. As we've seen, stemming and lemmatization are effective techniques to expand recall, with lemmatization giving up some of that recall to increase precision. But both techniques can feel like crude instruments.

Which is better lemmatization vs stemming?

Stemming and Lemmatization both generate the root form of the inflected words. ... Stemming follows an algorithm with steps to perform on the words which makes it faster. Whereas, in lemmatization, you used WordNet corpus and a corpus for stop words as well to produce lemma which makes it slower than stemming.

Should I use both stemming and lemmatization?

Short answer- go with stemming when the vocab space is small and the documents are large. Conversely, go with word embeddings when the vocab space is large but the documents are small. However, don't use lemmatization as the increased performance to increased cost ratio is quite low.