AI Associate AI Fundamentals Practice Question
A customer service team wants to automatically route incoming emails to the appropriate department based on content. Which NLP capability is essential for this task?
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
Text classification categorizes text into predefined classes, enabling automated routing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Sentiment analysis
Why it's wrong here
Sentiment analysis detects emotion, not the topic or category.
- ✓
Text classification
Why this is correct
Text classification assigns a category to the email, enabling routing.
- ✗
Entity extraction
Why it's wrong here
Entity extraction identifies specific pieces of information like names or dates, but does not classify the intent.
- ✗
Intent detection
Why it's wrong here
Intent detection identifies the user’s goal (e.g., “I want a refund”) but does not extract the named entities—such as product names, order IDs, or department keywords—that are required to map an email to a specific department. It is tempting because routing often seems goal-driven, and intent detection would be correct in a chatbot that needs to trigger a distinct workflow per user request, such as escalating a complaint versus answering a billing query.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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