Natural Language Processing (NLP) is one of the key domains in AI, where the primary challenge lies in converting unstructured text into structured formats suitable for machine learning models. This chapter covers essential NLP preprocessing steps such as tokenization, stopword removal, stemming, lemmatization, and vectorization. By mastering these techniques, you can effectively preprocess text data for various NLP tasks like sentiment analysis, machine translation, and text generation.
