Stanford Sentiment Treebank Dataset Quiz
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Questions and Answers

Which dataset is the Stanford Sentiment Treebank based on?

  • IMDb dataset (correct)
  • Amazon dataset
  • Yelp dataset
  • Twitter dataset
  • What is the purpose of the Stanford Sentiment Treebank corpus?

  • To analyze the effects of sentiment in images
  • To analyze the effects of sentiment in music
  • To analyze the effects of sentiment in language (correct)
  • To analyze the effects of sentiment in videos
  • How many unique phrases are included in the Stanford Sentiment Treebank corpus?

  • 215,154 (correct)
  • 11,855
  • 1
  • 3
  • What type of classification experiments refer to the dataset as SST-2 or SST binary?

    <p>Binary classification experiments on full sentences</p> Signup and view all the answers

    In which language is the text in the dataset?

    <p>English (en)</p> Signup and view all the answers

    Study Notes

    Stanford Sentiment Treebank Corpus

    • The Stanford Sentiment Treebank corpus is based on the Rotten Tomatoes dataset.
    • The purpose of the Stanford Sentiment Treebank corpus is to support sentiment analysis research.
    • The corpus includes approximately 10,000 unique phrases.
    • Binary classification experiments, where the sentiment is classified as either positive or negative, refer to the dataset as SST-2 or SST binary.
    • The text in the dataset is in the English language.

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    Description

    Test your knowledge on the Stanford Sentiment Treebank dataset and its features in this quiz. Explore the fully labeled parse trees and the compositional effects of sentiment in language.

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