Natural Language Processing (NLP) is a branch of artificial intelligence focused on enabling machines to understand, interpret, and generate human language. Here are key concepts to get started:

1. Tokenization

Splitting text into individual words or punctuation marks.

Tokenization

2. Part-of-Speech Tagging

Labeling words with their grammatical roles (noun, verb, adjective, etc.).

Part_of_Speech_Tagging

3. Named Entity Recognition

Identifying specific entities like people, organizations, locations.

Named_Entity_Recognition

4. Sentiment Analysis

Determining the emotional tone of text (positive, negative, neutral).

Sentiment_Analysis

5. Machine Learning in NLP

Using algorithms to train models on language patterns.

Machine_Learning_in_NLP

For deeper exploration, check our NLP Applications tutorial. 📘💡