Quizalize logo
placeholder image to represent content

NLP

Quiz by MOHD MIRZA

Feel free to use or edit a copy

includes Teacher and Student dashboards

Measure skills
from any curriculum

Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.

With a free account, teachers can
  • edit the questions
  • save a copy for later
  • start a class game
  • view complete results in the Gradebook and Mastery Dashboards
  • automatically assign follow-up activities based on students’ scores
  • assign as homework
  • share a link with colleagues
  • print as a bubble sheet

Our brand new solo games combine with your quiz, on the same screen

Correct quiz answers unlock more play!

New Quizalize solo game modes
35 questions
Show answers
  • 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

Teachers give this quiz to your class