Natural Language Processing
Dive into the world of NLP with our articles and tutorials.
Notes
- This page provides content related to Natural Language Processing.
- It includes articles and tutorials about NLP concepts and techniques.
Key NLP Concepts
Natural Language Processing (NLP) is a field focused on enabling computers to understand and process human language. Here are some key concepts:
Tokenization
The process of breaking down text into individual words or phrases (tokens).
Part-of-Speech Tagging
Identifying the grammatical role of each word in a sentence (e.g., noun, verb, adjective).
Named Entity Recognition (NER)
Identifying and classifying named entities in text, such as people, organizations, and locations.
Sentiment Analysis
Determining the emotional tone or attitude expressed in a piece of text.
Text Classification
Categorizing text into predefined classes or categories.
Text Summarization
Generating a concise summary of a longer text document.
These concepts form the foundation of many NLP applications, from chatbots to language translation.
Explore NLP on GeeksforGeeks
Learn more about NLP on Wikipedia
Explore NLP resources on DeepLearning.AI
Learn about NLP on Microsoft Azure
Explore NLP on Oracle
Learn about NLP on Simplilearn