Question at position 36 Which of the following is a major challenge when analyzing online customer reviews?Reviewers may be untruthful.Most of reviews come from polarized customers.Not all customer end up leaving a review.All of the above.

Question

BlackTom AI · Accepted Answer

All of the above is correct because each listed item represents a distinct and common source of bias or error that complicates the analysis of online customer reviews.

1. Relevant knowledge points and concepts
- Data quality: truthfulness and authenticity of reviews (e.g., fake or incentivized reviews) affect validity.
- Sampling bias: polarized customers (very satisfied or very dissatisfied) are more likely to post, skewing the distribution.
- Nonresponse bias: many customers never leave reviews, so reviewers are not a random sample of all customers.
- These factors affect representativeness, reliability, and the conclusions drawn from sentiment analysis or summary statistics.

2. Step-by-step reasoning
Step 1: Evaluate option A — Reviewers may be untruthful. Fake, paid, or malicious reviews introduce noise or deliberate misinformation, reducing data reliability.
Step 2: Evaluate option B — Most reviews come from polarized customers. Empirical evidence shows “extreme” experiences motivate posting, producing a U-shaped distribution and biasing average satisfaction estimates.
Step 3: Evaluate option C — Not all customers leave a review. This nonresponse means the review sample can differ systematically from the full customer base.
Step 4: Combine the effects — All three problems can co-occur and interact, compounding analysis difficulty (e.g., fake extreme reviews worsen polarization bias).

3. Intermediate logical steps (no numeric calculations)
- If untruthful reviews exist, measured sentiment ≠ true sentiment.
- If only extremes post, mean/median of reviews ≠ mean/median of all customers’ opinions.
- If many customers don’t post, sample is non-random → inference about population is invalid.

4. Why the correct answer is correct
Because each option names a major, distinct challenge. Since all three are valid and commonly observed problems, the comprehensive choice "All of the above" correctly captures the multi-faceted nature of challenges in review analysis.

5. Why other options are incorrect (brief)
- Choosing only A, B, or C ignores the other real issues. Each single option is true but incomplete; thus none alone is the best answer.

6. Conclusion
Therefore, the correct answer is "All of the above," which matches the provided answer.

Question at position 36 Which of the following is a major challenge when analyzing online customer reviews?Reviewers may be untruthful.Most of reviews come from polarized customers.Not all customer end up leaving a review.All of the above.单项选择题

类似问题

The cafe owner wants an AI summary of weekly performance. The model says customers are happier because review sentiment improved, but the number of reviews dropped sharply and complaints moved to private emails. What is the best assessment?

Sentiment analysis is used to

Question at position 22 Image-based sentiment or emotion analysis is impossible because images do not contain words that can be matched to a sentiment dictionary.TrueFalse

Companies can find out a lot about customers by listening to (and monitoring) what they say on their social networks, blogs, review sites, and so on. One technique that firms use to monitor such activity is called

NRC lexicon maps emotions but not sentiment:

更多留学生实用工具

智能学习助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单