Natural Language Processing opens up new opportunities for data scientists to analyze and understand text data more effectively. While the field is broad, starting with foundational techniques like tokenization, stop word removal, and sentiment analysis can provide a strong base. By experimenting with tools like NLTK, spaCy, and TextBlob, you can start leveraging the power of NLP in your data science projects.
https://mstravaloo.com/2024/10/04/natural-language-processing-for-data-science-beginners/