Natural Language Processing (NLP) Video Tutorials

Welcome to the collection of Natural Language Processing (NLP) video tutorials in English. These tutorials cover various aspects of NLP, from basic concepts to advanced techniques.

Introduction to NLP

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. It involves the ability of machines to understand, interpret, and generate human language.

Key Concepts

• Tokenization: The process of breaking text into words, phrases, symbols, or other meaningful elements called tokens.
• Part-of-Speech Tagging: Assigning a part of speech to each word in a sentence, such as noun, verb, adjective, etc.
• Named Entity Recognition (NER): Identifying and classifying named entities in text, such as person names, organizations, locations, etc.

Resources

For more detailed information and tutorials, you can visit the following resources:

• Machine Learning Basics
• Deep Learning for NLP

Tutorials

Here are some popular NLP video tutorials:

• Introduction to NLP with Python
• Sentiment Analysis with NLTK
• Text Classification with Scikit-learn

Images

Natural Language Processing

Tokenization

Part-of-Speech Tagging

Named Entity Recognition