1. "AI or Human? Test Your Eye for Machine-Created Images in This Quiz!" - In th...
14 Questions
2 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What are some examples of text normalization techniques?

  • Punctuation removal
  • Abbreviation normalization (correct)
  • Capitalization of first letter
  • Removing stop words

    • What is the relationship between the input and output in text classification?

  • The formal structure of the learning method
  • Both A and B (correct)
  • The representation of the data
  • None of the above

    • What are some examples of classification methods in text classification?

  • All of the above
  • K-means clustering
  • Decision trees
  • Support vector machines (correct)

    • What are some examples of text representation techniques in text classification?

    <p>All of the above</p> Signup and view all the answers

    What is the purpose of text normalization in natural language processing?

    <p>To convert text into a standard format for easier analysis</p> Signup and view all the answers

    What type of language prompts should be used for mid-journey and logistics in natural language processing?

    <p>Natural language</p> Signup and view all the answers

    What will be covered in the lexical semantics and distributed representations section of the Natural Language Processing course?

    <p>Word similarity and senses</p> Signup and view all the answers

    What is the purpose of using naive Bayes in language modeling?

    <p>To calculate the probability of a sequence of words</p> Signup and view all the answers

    Why are computers not very good at understanding human language?

    <p>Because human language is too random</p> Signup and view all the answers

    What is the main reason for reducing the variations of words in raw text?

    <p>To increase efficiency and avoid false negatives</p> Signup and view all the answers

    What is the difference between stemming and lemmatization?

    <p>Stemming reduces words to their base form while lemmatization reduces words to their root form</p> Signup and view all the answers

    What is the purpose of tokenization in NLP?

    <p>To segment running text into words and sentences</p> Signup and view all the answers

    Why is it important to expand contractions in NLP?

    <p>To improve the accuracy of the model</p> Signup and view all the answers

    What is the benefit of removing duplicate whitespaces and punctuation in NLP?

    <p>To create 'clean' text for the model to work with</p> Signup and view all the answers

    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser