Introduction to Natural Language Processing (NLP)

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This tutorial will give you a basic understanding of NLP and its applications.

Key Concepts

• Tokenization: The process of splitting text into words or sentences.
• Part-of-Speech Tagging: Identifying the grammatical parts of speech in a sentence.
• Named Entity Recognition (NER): Identifying and classifying named entities in text, such as person names, organizations, and locations.
• Sentiment Analysis: Determining the sentiment expressed in a piece of text.

Applications

NLP has a wide range of applications, including:

• Text Classification: Automatically categorizing text into predefined categories.
• Machine Translation: Translating text from one language to another.
• Chatbots: Automating customer service through conversations with a computer program.
• Summarization: Automatically generating summaries of longer texts.

Learn More

To delve deeper into NLP, you can visit our NLP Resources section.

NLP Diagram