AI-900 Question 195
Select 3A company wants to implement a solution that automatically analyzes customer feedback from online reviews to extract overall sentiment, identify key topics, and detect personal information (such as names or email addresses) for data compliance. Which combination of NLP features would be most suitable for this workload?
- A
Sentiment Analysis
- B
Key Phrase Extraction
- C
Named Entity Recognition
- D
Language Translation
- E
Speech-to-Text Conversion
Show answer and explanation
Correct answers: A, B, C
Explanation
The scenario describes a workload that requires analyzing customer reviews to extract sentiment, identify main topics, and detect sensitive information. Sentiment Analysis, Key Phrase Extraction, and Named Entity Recognition are the appropriate NLP features for this scenario, as they address all the stated requirements. Language Translation and Speech-to-Text Conversion are unrelated to the given context.
- A. Correct.
Sentiment Analysis is correct because it helps determine the overall sentiment (positive, negative, or neutral) in customer reviews.
- B. Correct.
Key Phrase Extraction is correct because it identifies the main topics or themes within the customer feedback, which helps in understanding the common issues or areas of praise.
- C. Correct.
Named Entity Recognition is correct because it can detect personal information such as names, emails, and other sensitive data for compliance purposes.
- D. Incorrect.
Language Translation is incorrect because there is no mention of translating the customer feedback in this scenario.
- E. Incorrect.
Speech-to-Text Conversion is incorrect because the customer feedback is already in text form, so this feature is not relevant.