Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. Here are some fundamental concepts:

  • Text Classification: This is the process of categorizing text into predefined classes or categories. For example, sentiment analysis classifies text as positive, negative, or neutral.

  • Tokenization: It is the process of splitting text into words, phrases, symbols, or other meaningful elements called tokens.

  • Named Entity Recognition (NER): This is the process of identifying entities in text such as names, places, organizations, etc.

  • Machine Translation: This involves translating text from one language to another using machine learning models.

For more in-depth information, check out our NLP tutorials.

Images

Here are some popular NLP tasks visualized:

NLP Tasks Visualization
  • Text Classification
  • Tokenization
  • Named Entity Recognition (NER)
  • Machine Translation