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AI-103 Text Analysis Practice Question

You are implementing opinion mining as part of sentiment analysis in Azure AI Language. An incoming review states, 'The room was spacious, but the staff was rude.' What does opinion mining return for this sentence?

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

Aspect targets ('room', 'staff') along with their corresponding evaluations ('spacious', 'rude') and individual sentiments.

Opinion mining targets specific aspects (e.g., 'room', 'staff') and associates a separate sentiment and assessment (e.g., 'spacious' is positive, 'rude' is negative) for each aspect.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • A binary classification indicating whether the review is spam or genuine.

    Why it's wrong here

    Spam detection is not a function of opinion mining.

  • A single neutral sentiment score for the entire document.

    Why it's wrong here

    Opinion mining goes beyond document-level sentiment to extract aspect-level targets and assessments.

  • A translated version of the review in English.

    Why it's wrong here

    Translation is handled by Azure AI Translator, not opinion mining.

  • Aspect targets ('room', 'staff') along with their corresponding evaluations ('spacious', 'rude') and individual sentiments.

    Why this is correct

    Opinion mining provides granular aspect-based sentiment analysis, linking targets to assessments.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

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