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 in NLP
- Tokenization: The process of splitting 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 text, 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 emotional tone behind a piece of text.
Applications of NLP
NLP has a wide range of applications, including:
- Chatbots and Virtual Assistants: Providing customer service and support.
- Machine Translation: Translating text from one language to another.
- Information Extraction: Extracting structured information from unstructured text.
- Text Summarization: Creating a concise summary of a larger text.
Learning Resources
To dive deeper into NLP, consider exploring the following resources:
NLP Workflow
By learning NLP, you can unlock the potential of natural language to drive innovation and efficiency in various fields.