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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?
The best way to organize customer meetings
How to train employees to handle phone calls
Using NLP to find common complaints
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?
Natural Logic Processing
Natural Language Processing
New Language Protocol
Neural Language Program
Explanation:
Sarah says that NLP means Natural Language Processing.
3.
What is the first step Sarah says to follow?
Clean the text data
Group similar complaints
Improve service
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 deleting repeated messages
By using algorithms to group similar complaints
By reading only the longest complaints
By asking customers to vote
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 only works with handwritten notes
It is useful for handling many customer messages
It is meant to replace all service staff
It cannot read text patterns
Explanation:
Sarah says NLP works well with large data, which suggests it is useful for handling many customer messages.
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