Sentiment analysis is used to

Question

BlackTom AI · Accepted Answer

Sentiment analysis classifies text by its polarity—typically positive, negative, or neutral—so the correct answer is "Determine the polarity of a text."

1. Relevant knowledge points and concepts:
- Sentiment analysis is a subfield of natural language processing (NLP) and computational linguistics.
- "Polarity" refers to the overall orientation of sentiment in text (positive/negative/neutral), often expressed as a categorical label or a score.
- Related but distinct tasks include emotion detection (identifying specific emotions like joy, anger, sadness) and impact/engagement analysis (measuring influence, reach, or effect of text).

2. Step-by-step reasoning:
- Identify the central goal of sentiment analysis: quantify or classify whether opinion expressed is favorable, unfavorable, or neutral.
- Examine the answer options: one option explicitly states "Determine the polarity of a text," which matches the core goal.
- Compare alternatives: one mentions emotional tone (which is more granular/emotion-detection), another mentions impact (which is about influence, not sentiment), and "None of the above" is inconsistent.

3. Intermediate steps (concept mapping):
- Sentiment analysis → output = polarity label or numerical sentiment score.
- Example: "I love this product" → positive polarity; "This was terrible" → negative polarity; "The meeting is Thursday" → neutral polarity.
- Methods: lexicon-based scoring (sum positive/negative word weights), supervised classification (features → positive/negative), or deep learning producing polarity probabilities.

4. Why the correct answer is correct:
- The phrasing "Determine the polarity of a text" precisely captures the primary objective of sentiment analysis—assigning positive/negative/neutral orientation—so it directly states what sentiment analysis is designed to do.

5. Why other options are incorrect:
- "Detect the impact of a text": Impact concerns influence, engagement, or behavioral effects, which are outside standard sentiment analysis.
- "Identify the emotional tone of a text": While related, this refers to detecting discrete emotions (joy, anger, fear), a separate or extended task (emotion detection) rather than the standard polarity focus.
- "None of the above": Incorrect because an accurate option is present.

Conclusion: The correct option is "Determine the polarity of a text," which matches the provided answer.

Sentiment analysis is used to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?

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 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