Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
cleaning and transforming raw text data into a format suitable for further analysis or modeling. It involves various techniques such as tokenization, lowercasing, removing stopwords, stemming, or lemmatization. You can automate text preprocessing using libraries like NLTK or spaCy. Example: