AI-103 Text Analysis Practice Question
You are analyzing product reviews and need to identify specific product features mentioned by users along with whether users expressed positive or negative opinions about those specific features. Which advanced feature of sentiment analysis should you enable?
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
✓
Opinion mining
Opinion mining is an advanced feature of sentiment analysis that extracts aspects (targets) and their associated opinions (assessments).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Extractive summarization
Why it's wrong here
Summarization condenses text.
- ✓
Opinion mining
Why this is correct
Opinion mining extracts aspect-level targets and sentiments.
- ✗
Key phrase extraction
Why it's wrong here
Key phrases do not provide sentiment evaluation per feature.
- ✗
Named Entity Recognition
Why it's wrong here
NER identifies entities without sentiment linkage.
About these practice questions
Courseiva writes every AI-103 question from scratch — 510 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
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
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.