Welcome to our Natural Language Processing (NLP) documentation page. Here you will find valuable resources and information to help you understand and implement NLP in your projects.
What is NLP?
Natural Language Processing (NLP) is a branch 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 categorizing entities in text, such as names, organizations, locations, etc.
- Sentiment Analysis: Determining the sentiment or emotion behind a piece of text, such as positive, negative, or neutral.
Getting Started
If you're new to NLP, we recommend starting with our beginner's guide: Introduction to NLP.
Resources
- Tutorials: Learn step-by-step how to implement NLP techniques with our hands-on tutorials.
- APIs: Access pre-trained NLP models and tools through our APIs.
- Community: Join our community forums to connect with other NLP enthusiasts and experts.
Examples
Here are some examples of NLP applications:
- Chatbots: Automating customer service with conversational agents.
- Voice Assistants: Interacting with devices using natural language commands.
- Machine Translation: Translating text from one language to another.
Image: NLP Applications
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