Understanding Stemming and Lemmatization in NLP
Stemming and Lemmatization are text normalization techniques in Natural Language Processing (NLP) that reduce words to their base forms, but they differ in their approach: stemming is a rule-based, fast, and potentially inaccurate method, while lemmatization is context-aware, dictionary-based, and more accurate but slower. Stemming Definition: A heuristic process that removes suffixes or prefixes from […]
Understanding Stemming and Lemmatization in NLP Read More »