21
In NLP, what is the purpose of "stopwords"?
A)
To improve text readability
B)
To identify the sentiment of a text
C)
To group words into topics
D)
To perform machine translation
Answer & Solution
Answer: Option
A
22
Which NLP technique involves analyzing the structure and content of a document to extract useful information?
A)
Named Entity Recognition
B)
Text Classification
C)
Information Retrieval
D)
Document Parsing
Answer & Solution
Answer: Option
C
23
What is the primary goal of Information Retrieval in NLP?
A)
To recognize and classify named entities (e.g., names, locations)
B)
To identify the sentiment of a text
C)
To retrieve relevant documents based on user queries
D)
To perform tokenization
Answer & Solution
Answer: Option
C
24
Which NLP task involves classifying text documents into predefined categories or labels, such as spam or not spam?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Text Classification
D)
Machine Translation
Answer & Solution
Answer: Option
C
25
What is the primary purpose of Named Entity Recognition (NER) in NLP?
A)
To improve text readability
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
26
Which NLP technique involves analyzing and extracting structured information from unstructured text, often in the form of tables or databases?
A)
Named Entity Recognition
B)
Text Mining
C)
Information Retrieval
D)
Document Parsing
Answer & Solution
Answer: Option
B
27
What is the primary goal of Text Mining in NLP?
A)
To improve text readability
B)
To identify the sentiment of a text
C)
To analyze and extract structured information from unstructured text
D)
To perform tokenization
Answer & Solution
Answer: Option
C
28
In NLP, what is the purpose of a "stemmer"?
A)
To group words into topics
B)
To split text into individual words or tokens
C)
To reduce words to their root form
D)
To recognize named entities
Answer & Solution
Answer: Option
C
29
What is the primary goal of a "language model" in NLP?
A)
To generate random text
B)
To improve text readability
C)
To perform machine translation
D)
To understand and generate human language
Answer & Solution
Answer: Option
D
30
Which NLP technique involves analyzing the sentiment or emotional tone expressed in a text document, such as positive, negative, or neutral?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Text Classification
D)
Machine Translation
Answer & Solution
Answer: Option
B
