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ChatGPT Quiz: Basics of Natural Language Processing #1

Quiz by OXFORD SCHOOL

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10 questions
Show answers
  • Q1
    What is Natural Language Processing (NLP)?
    A field of AI that focuses on enabling machines to understand, interpret, and generate human language.
    A type of natural medicine.
    A method of teaching language to humans.
    A programming language used for web development.
    30s
  • Q2
    What is the difference between NLP and computational linguistics?
    NLP is focused on creating practical applications of language processing, while computational linguistics is focused on understanding the underlying structure of human language.
    Computational linguistics is a subset of NLP.
    NLP is focused on the structure of language, while computational linguistics is focused on practical applications.
    There is no difference between NLP and computational linguistics.
    30s
  • Q3
    What is the goal of NLP?
    To create better programming languages.
    To study the structure of human language.
    To enable humans to understand computer language.
    To enable machines to understand, interpret, and generate human language.
    30s
  • Q4
    What is the most common NLP task?
    Machine translation.
    Speech recognition.
    Sentiment analysis.
    Text classification.
    30s
  • Q5
    What is the purpose of tokenization?
    To identify the sentiment of a text.
    To break text into smaller pieces (tokens) for further analysis.
    To recognize speech patterns.
    To convert text into a different language.
    30s
  • Q6
    What is stemming?
    Reducing words to their root form.
    Breaking text into smaller pieces.
    Adding context to text.
    Converting text to another language.
    30s
  • Q7
    What is part-of-speech tagging?
    Breaking text into smaller pieces.
    Converting text to another language.
    Adding context to text.
    Identifying the grammatical role of each word in a text.
    30s
  • Q8
    What is named entity recognition?
    Cleaning irrelevant text from a dataset.
    Breaking text into smaller pieces.
    Identifying the sentiment of a text.
    Identifying specific entities (such as people, organizations, and locations) in a text.
    30s
  • Q9
    What is the purpose of sentiment analysis?
    To determine the emotional tone of a text.
    To identify specific entities in a text.
    To categorize text based on subject matter.
    To break text into smaller pieces.
    30s
  • Q10
    What is the difference between supervised and unsupervised learning in NLP?
    Unsupervised learning is used for named entity recognition, while supervised learning is used for sentiment analysis.
    Supervised learning involves training a model with labeled data, while unsupervised learning involves finding patterns in data without labels.
    There is no difference between supervised and unsupervised learning in NLP.
    Supervised learning is used for speech recognition, while unsupervised learning is used for text classification.
    30s

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