1
What is the primary goal of Natural Language Processing (NLP)?
A)
To generate random text
B)
To understand, interpret, and generate human language
C)
To analyze only written text
D)
To automate data visualization
Answer & Solution
Answer: Option
B
2
Which NLP task involves determining the grammatical structure of a sentence, including its parts of speech (e.g., noun, verb, adjective)?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Part-of-Speech Tagging
D)
Machine Translation
Answer & Solution
Answer: Option
C
3
Which of the following is a common preprocessing step in NLP for converting text to a uniform format by removing punctuation, capitalization, and stopwords?
A)
Stemming
B)
Tokenization
C)
Lemmatization
D)
Normalization
Answer & Solution
Answer: Option
B
4
In the context of NLP, what does the acronym "POS" stand for?
A)
Part-of-Speech
B)
Positive Output
C)
Plain Old Search
D)
Preprocessed Object Store
Answer & Solution
Answer: Option
A
5
Which NLP technique involves converting words into their base or dictionary form, reducing them to their root form?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Part-of-Speech Tagging
D)
Lemmatization
Answer & Solution
Answer: Option
D
6
What is the primary purpose of Named Entity Recognition (NER) in NLP?
A)
To identify the sentiment of a text
B)
To recognize and classify named entities (e.g., names, locations)
C)
To perform machine translation
D)
To perform tokenization
Answer & Solution
Answer: Option
B
7
What is the primary goal of Sentiment Analysis in NLP?
A)
To recognize and classify named entities (e.g., names, locations)
B)
To identify the sentiment of a text
C)
To perform machine translation
D)
To perform tokenization
Answer & Solution
Answer: Option
B
8
Which NLP task involves determining the sentiment or emotional tone expressed in a piece of text, such as positive, negative, or neutral?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Part-of-Speech Tagging
D)
Machine Translation
Answer & Solution
Answer: Option
B
9
What is the purpose of "tokenization" in NLP?
A)
To group words into topics
B)
To split text into individual words or tokens
C)
To translate text from one language to another
D)
To recognize named entities
Answer & Solution
Answer: Option
B
10
Which NLP technique involves reducing words to their root form by removing suffixes and prefixes, even if the result is not a valid word?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Part-of-Speech Tagging
D)
Stemming
Answer & Solution
Answer: Option
D
