What does lemmatization take into account that stemming does not?

Lemmatization focuses on understanding the context of a word in order to convert it to its base or dictionary form, known as the lemma. It involves analyzing the word's meaning and how it is used in a given sentence, which allows it to accurately reduce variations of a word while maintaining the correct meaning. For example, the word "better" would be lemmatized to "good" because of its contextual usage.

In contrast, stemming is a more simplistic approach that reduces words to their root form without considering their grammatical context or meaning. It may cut off derivations of a word based solely on prefix or suffix, often resulting in non-words or less recognizable forms. As a result, lemmatization produces more accurate and meaningful outputs, enhancing the quality of text analysis and natural language processing tasks.