Best Answer · By JanBask Data Science Expert
Answered on Nov 6, 2019
Stemming is a relatively faster algorithm compared to lemmatization because of its easy ‘word chopping’ algorithm unlike lemmatization takes time to convert to its root form. But lemmatization makes sense in those applications which are based on languages or algorithms required in building chatbots. Both have different merits as well as limitations.
Stemming works in the following way

Lemmatization works in the following way
