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Text Preprocessing QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Why is lowercasing a common step in text preprocessing?

Question: 2

What is the term for the process of reducing a word to its base form by removing suffixes?

Question: 3

Which text preprocessing step is most critical for ensuring privacy in redacting sensitive information like names or addresses?

Question: 4

Which text preprocessing technique is used to handle text data in different languages?

Question: 5

In text preprocessing, what is the purpose of feature engineering?

Question: 6

What is the term for the process of breaking a text into sentences or smaller segments?

Question: 7

Which text preprocessing step can help identify and handle negations like "not good" in sentiment analysis?

Question: 8

What is the primary goal of text preprocessing in sentiment analysis?

Question: 9

Which text preprocessing technique is used to remove URLs and email addresses from text data?

Question: 10

In text preprocessing, what is the purpose of TF-IDF?

Question: 11

Which text preprocessing step is most likely to improve search engine query performance?

Question: 12

What is the purpose of n-grams in text preprocessing?

Question: 13

Which text preprocessing technique helps in reducing the impact of very common words in text analysis?

Question: 14

What is the purpose of one-hot encoding in text preprocessing?

Question: 15

Which text preprocessing technique helps in handling variations of a word, such as "running" and "run"?

Question: 16

What is the primary purpose of text preprocessing in natural language processing (NLP)?

Question: 17

In text preprocessing, what is the purpose of padding in the context of sequence data?

Question: 18

Which text preprocessing step is essential for converting text data into numerical features for machine learning models?

Question: 19

What does the term "Bag of Words" refer to in text preprocessing?

Question: 20

Which of the following is an example of a text normalization technique in text preprocessing?

Question: 21

What is the main purpose of removing stopwords in text preprocessing?

Question: 22

Which of the following is not a common use case for text preprocessing?

Question: 23

What is the purpose of stemming in text preprocessing?

Question: 24

Which text preprocessing technique helps convert all text to a consistent case, usually lowercase?

Question: 25

Which of the following is not a common method for handling missing data in text preprocessing?

Question: 26

Which technique removes HTML tags and special characters from text data?

Question: 27

What are stopwords in text preprocessing?

Question: 28

Which text preprocessing technique reduces words to their base or root form?

Question: 29

What is tokenization in text preprocessing?

Question: 30

Which of the following is not a common text preprocessing step?