How does lemmatization differ from stemming?

Lemmatization focuses on reducing words to their base or root form while taking into account the part of speech of the word. This means that it recognizes the context in which a word is used and applies linguistic knowledge to convert a word to its proper lemma, which is its dictionary form. For example, the word "better" would be lemmatized to "good" when processing as an adjective, while "ran" would be lemmatized to "run" when identified as a verb. This aspect of considering the part of speech allows lemmatization to provide a more accurate representation of the word's meaning in context, improving the overall understanding in natural language processing tasks.