NLP

QuizÂ by MOHD MIRZA

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35 questions
• Q1
What is a common technique used in NLP for converting words into their base or root form?
Stemming
Lemmatization
Parsing
Tokenization
30s
• Q2
What is the process of breaking down a text into smaller units, like words or sentences, called in NLP?
Tokenization
Parsing
Stemming
Normalization
30s
• Q3
What does the acronym NLP stand for?
Normalized Language Programming
Natural Language Processing
Numerical Language Parsing
Neural Language Processor
30s
• Q4
What does TFIDF stand for?
Transfer Function-Inverse Data Filtering
Term Frequency-Inverse Document Frequency
Total Frequency-Inverse Document Filter
Text Feature-Inverse Data Flow
30s
• Q5
What is the purpose of TFIDF in NLP?
To measure the length of a document
To classify documents into categories
To determine the importance of words in a document
To perform sentiment analysis on text
30s
• Q6
Which formula is used to calculate TFIDF?
TF * IDF
TF + IDF
TF - IDF
TF / IDF
30s
• Q7
How does TFIDF calculate the term frequency (TF) of a word in a document?
By dividing the number of times the word appears in the document by the total number of words in the document
By multiplying the number of times the word appears in the document by the total number of documents
By subtracting the number of times the word appears in the document from the total number of words in the document
By averaging the number of times the word appears in the document across all documents
30s
• Q8
What is the inverse document frequency (IDF) in TFIDF?
A measure of the relevance of a word in a document
A measure of the sentiment of a word in a document
A measure of how rare or common a word is across the entire document collection
A measure of the length of a document
30s
• Q9
What does the IDF value represent in TFIDF?
The importance or rarity of a word in a document collection
The frequency of a word in a document
The length of a document
The sentiment of a word in a document
30s
• Q10
What does IDF stand for in TFIDF?
Information Document Frequency
Inverse Document Filter
Inverse Document Frequency
Inverse Data Format
30s
• Q11
In TFIDF, what happens to the weight of a word as its frequency increases within a document?
The weight of the word decreases
The weight of the word increases
The weight of the word remains the same
The weight of the word becomes negative
30s
• Q12
What is the use of TFIDF in information retrieval?
To rank documents based on their relevance to a query
To classify documents into categories
To tokenize and preprocess text data
To perform sentiment analysis on text
30s
• Q13
What is the fundamental difference between human language and computer language?
Computer language and human language are both ambiguous and context-dependent.
Computer language is ambiguous and context-dependent, while human language is precise and unambiguous.
Computer language and human language are both precise and unambiguous.
Computer language is precise and unambiguous, while human language is often ambiguous and context-dependent.
30s
• Q14
Which of the following is a characteristic of natural human language?
Human languages evolve over time.
Human languages are created artificially.
Human languages are static and do not change.
Human languages are only spoken and not written.
30s
• Q15
What is a chatbot?
A type of boat.
A type of bird.
A type of hat.
A computer program designed to simulate conversation with human users, especially over the Internet.
30s

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