Natural Language Processing (NLP) is an essential field in AI that focuses on the interaction between computers and humans through natural language. This section provides a brief overview of the basics of NLP.

Common Tasks in NLP

  • Text Classification: Categorizing text into predefined categories.
  • Sentiment Analysis: Determining the sentiment of a text (positive, negative, neutral).
  • Named Entity Recognition (NER): Identifying and classifying named entities in text.
  • Machine Translation: Translating text from one language to another.

Key Concepts

  • 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 sentence, such as noun, verb, adjective, etc.
  • Dependency Parsing: Analyzing the grammatical structure of a sentence by identifying the relationships between words.

NLP in Action

NLP is widely used in various applications, such as:

  • Chatbots: Providing automated customer service.
  • Voice Assistants: Understanding and responding to voice commands.
  • Summarization: Generating concise summaries of long texts.

NLP in Action

For more information on NLP, you can explore our NLP Resources.