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

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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 (C)</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 (D)</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 (B)</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 (B)</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 (B)</p> Signup and view all the answers

Why are computers not very good at understanding human language?

<p>Because human language is too random (D)</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 (A)</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 (C)</p> Signup and view all the answers

What is the purpose of tokenization in NLP?

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

Why is it important to expand contractions in NLP?

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

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