Natural Language Processing (NLP) bridges human communication and computer understanding. It powers tools like chatbots, search engines, and translation services. While NLP is a broad and complex field, there are several foundational techniques that anyone interested in the area should understand. Below are some of the top NLP techniques and how to apply them.

1. Tokenization

What it is:

Tokenization is the process of breaking a text into smaller units, typically words or sentences.

How to do it:

Use libraries like NLTK or spaCy in Python. For word tokenization: