Tag nns

You're referring to Named Entity Recognition (NER)!

Named Entity Recognition (NER) is a sub-task of Natural Language Processing (NLP) that involves identifying and categorizing named entities in unstructured text into predefined categories such as:

  1. Person (e.g., John Smith)
  2. Organization (e.g., Google)
  3. Location (e.g., New York City)
  4. Date (e.g., 2022-07-25)
  5. Time (e.g., 14:30)
  6. Event (e.g., World Cup)
  7. Product (e.g., iPhone)
  8. Work of Art (e.g., Mona Lisa)

The goal of NER is to automatically identify and classify named entities in text, which can be useful for various applications such as:

  1. Information retrieval
  2. Sentiment analysis
  3. Text summarization
  4. Question answering
  5. Entity disambiguation

Some popular NER tools and libraries include:

  1. spaCy
  2. Stanford CoreNLP
  3. NLTK
  4. GATE
  5. OpenNLP

Do you have a specific question about NER or would you like to know more about a particular aspect of it?