NLP Basics in AI Tutorials

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. In this section, we'll cover the basics of NLP, including common tasks, techniques, and tools.

Common NLP Tasks

• Text Classification: Categorizing text into predefined categories.
• Sentiment Analysis: Determining the sentiment of a piece of text.
• Named Entity Recognition (NER): Identifying and classifying named entities in text.
• Machine Translation: Translating text from one language to another.

Techniques in NLP

• Tokenization: Breaking text into individual words or tokens.
• Part-of-Speech Tagging: Labeling words with their grammatical roles.
• Named Entity Recognition: Identifying and classifying named entities in text.
• Dependency Parsing: Analyzing the grammatical relationships between words.

Tools for NLP

• NLTK: A leading platform for building Python programs to work with human language data.
• spaCy: An industrial-strength natural language processing library.
• TensorFlow: An open-source machine learning framework.

More about NLP

To learn more about NLP, you can visit our NLP Deep Dive.

NLP Basics