Practice Text Acquisition (11.4.1) - Natural Language Processing (NLP)

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9 questions

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6 sample questions

Question 1.
What is text acquisition?
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Think about the first step in the NLP pipeline.
Question 2.
List two sources of text data.
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Consider communication platforms.
3Question 3.
What is the first step in the NLP pipeline?
- Text Acquisition
- Text Preprocessing
- Part-of-Speech Tagging
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Think about what comes before processing the data.
4Question 4.
True or False: Quality of the data does not affect model performance.
- True
- False
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Reflect on your understanding of machine learning.
Question 5.
Design a strategy for acquiring text data for a new sentiment analysis project targeting social media. Include considerations for data quality and representativeness.
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Consider different demographics and trending topics.
Question 6.
Discuss the potential consequences of using low-quality text data in developing a chatbot. What approaches can mitigate these risks?
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Think about how chatbots interact with users.

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