Intent Classification
Intent classification is a natural language processing (NLP) task that involves identifying the purpose or goal behind a user's input, such as a text query or spoken utterance. It is commonly used in chatbots, virtual assistants, and customer service systems to understand user requests and route them appropriately. The process typically involves training machine learning models to categorize inputs into predefined intent categories like 'book_flight', 'check_balance', or 'get_weather'.
Developers should learn intent classification when building conversational AI systems, such as chatbots for customer support, voice assistants like Alexa or Siri, or automated response systems in messaging apps. It is essential for accurately interpreting user queries and enabling systems to provide relevant responses or actions, improving user experience and automation efficiency in domains like e-commerce, healthcare, and smart devices.