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 computers to understand, interpret, and generate human language. NLP is widely used in various applications such as machine translation, sentiment analysis, and chatbots.
Key Concepts
- Tokenization: The process of breaking down a text into words, phrases, symbols, or other meaningful elements called tokens.
- Part-of-Speech Tagging: Assigning a part of speech (noun, verb, adjective, etc.) to each word in a text.
- Named Entity Recognition (NER): Identifying and categorizing named entities in text, such as names of persons, organizations, locations, expressions, and quantities.
- Sentiment Analysis: Determining whether a piece of text is positive, negative, or neutral.
Applications
- Machine Translation: Translating text from one language to another.
- Chatbots: Automated conversational agents that can provide customer service, information, or entertainment.
- Sentiment Analysis: Analyzing the sentiment of social media posts, customer reviews, and other text data.
- Text Summarization: Generating a concise summary of a longer text.
Resources
For more information on NLP, you can visit our NLP Resources page.
NLP Diagram