AI Associate AI Fundamentals Practice Question
A company uses AI to automatically categorize customer support tickets into 'Billing', 'Technical', or 'General'. The model is trained on thousands of past tickets labeled by agents. What type of AI task is this?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Text classification
This is a text classification problem using supervised learning, where each ticket is assigned to a predefined category based on labeled training data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Intent detection
Why it's wrong here
Intent detection is similar but focuses on user's goal in conversational AI; here categories are fixed topics.
- ✗
Sentiment analysis
Why it's wrong here
Sentiment analysis detects emotion (positive/negative), not topic categories.
- ✗
Named entity recognition
Why it's wrong here
NER extracts specific entities like names or dates, not broad categories.
- ✓
Text classification
Why this is correct
Text classification assigns predefined labels to text, exactly matching the ticket categorization use case.
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