
TextBlob NLP Quiz
Authored by Jean Malolos
Computers
University
Used 1+ times

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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the tokenization process involve?
Analyzing sentiment
Splitting text into pieces called tokens
Detecting language
Correcting spelling
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the sentiment property of a TextBlob return?
A string of the text
A Sentiment object indicating polarity and subjectivity
The language of the text
The word frequency count
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In TextBlob, what is the process of converting words to their base forms called?
Tokenization
Lemmatization
Sentiment analysis
Translation
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which TextBlob method is used to remove common words from text?
remove_stopwords()
filter_words()
delete_stopwords()
No specific method; done using list comprehensions
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a task performed by TextBlob?
Tokenization
Parts-of-speech tagging
Creating neural networks
Sentiment analysis
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library does TextBlob use for WordNet integration?
SpaCy
TensorFlow
NLTK
PyTorch
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library does TextBlob build on for its NLP capabilities?
TensorFlow
PyTorch
NLTK and Pattern
SpaCy
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