Keyword matching is a basic technique in Natural Language Processing (NLP) used to identify specific words or phrases (keywords) in text and take action based on their presence. It’s often used in tasks like:

  • Information retrieval (e.g., search engines)

  • Rule-based chatbots

  • Spam detection

  • Form or intent recognition

🔑 How Keyword Matching Works:

It typically involves:

  1. Predefined Keywords: A list of words/phrases you’re interested in.

  2. Text Scanning: The system scans the input for matches.

  3. Action or Labeling: Based on detected keywords, it assigns a label, triggers a response, etc.

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