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

In which language is the text in the dataset?

<p>English (en) (B)</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.