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Listening Quiz: Tìm Ra Các Khiếu Nại Phổ Biến Bằng NLP – Medium Level
Th4 15, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of the conversation?
Using NLP to find common complaints
The best way to organize customer meetings
How to train employees to handle phone calls
Why companies should stop collecting feedback
Explanation:
Paul and Sarah discuss using NLP to find common complaints in customer messages.
2.
What does NLP stand for in the conversation?
New Language Protocol
Natural Language Processing
Neural Language Program
Natural Logic Processing
Explanation:
Sarah says that NLP means Natural Language Processing.
3.
What is the first step Sarah says to follow?
Group similar complaints
Improve service
Clean the text data
Collect all complaint texts
Explanation:
Sarah explains that the first step is to collect all complaint texts.
4.
How do they find the themes in the complaint texts?
By using algorithms to group similar complaints
By asking customers to vote
By reading only the longest complaints
By deleting repeated messages
Explanation:
Sarah says they use algorithms to group similar complaints to find the themes.
5.
What can be inferred about the NLP approach discussed in the conversation?
It cannot read text patterns
It is meant to replace all service staff
It is useful for handling many customer messages
It only works with handwritten notes
Explanation:
Sarah says NLP works well with large data, which suggests it is useful for handling many customer messages.
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