A lemmatizer is a tool in natural language processing that reduces words to their base form or lemma. NLTK provides a lemmatizer that can be used to normalize words in text data, which can be useful for tasks such as text classification, sentiment analysis, and information retrieval. By reducing words to their base form, a lemmatizer can improve the accuracy and efficiency of natural language processing algorithms and techniques.

This project will use the NLTK for tokenization, stemming, tagging, parsing, and machine learning for text data.