1. What is the primary goal of text preprocessing in data mining?
a) To remove stop words
b) To convert text into lowercase
c) To prepare text data for analysis
d) To tokenize sentences
Answer: c) To prepare text data for analysis
2. Which of the following is NOT a common step in text preprocessing?
a) Lemmatization
b) Part-of-speech tagging
c) Tokenization
d) Feature scaling
Answer: d) Feature scaling
3. What does tokenization involve in text preprocessing?
a) Removing punctuation marks from text
b) Converting words to their base forms
c) Splitting text into words or tokens
d) Normalizing text data
Answer: c) Splitting text into words or tokens
4. Which technique is used to handle different forms of a word during text preprocessing?
a) Lemmatization
b) Stemming
c) Tokenization
d) Stop word removal
Answer: a) Lemmatization
5. What is the purpose of stop word removal in text preprocessing?
a) To remove special characters from text
b) To remove words that do not contribute much to the meaning of a sentence
c) To convert words to lowercase
d) To split text into sentences
Answer: b) To remove words that do not contribute much to the meaning of a sentence
6. What is stemming in text preprocessing?
a) Removing duplicate words from text
b) Reducing words to their base or root form
c) Removing punctuation marks from text
d) Converting words to their plural forms
Answer: b) Reducing words to their base or root form
7. Which of the following is an example of normalization in text preprocessing?
a) Removing punctuation marks
b) Converting all text to uppercase
c) Converting numbers to words
d) Removing stop words
Answer: c) Converting numbers to words
8. What is the purpose of part-of-speech tagging in text preprocessing?
a) To identify the main topic of a document
b) To identify the grammatical parts of speech for each word in a sentence
c) To remove irrelevant words from text
d) To convert words into their base forms
Answer: b) To identify the grammatical parts of speech for each word in a sentence
9. Which step in text preprocessing involves removing HTML tags and special characters?
a) Tokenization
b) Lemmatization
c) Cleaning
d) Normalization
Answer: c) Cleaning
10. What is an essential consideration when performing text preprocessing?
a) Speed of text processing algorithms
b) Retaining all words in their original forms
c) Preserving sentence boundaries
d) Removing all punctuation marks
Answer: c) Preserving sentence boundaries
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