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Questions and Answers
Which dataset is the Stanford Sentiment Treebank based on?
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?
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?
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?
What type of classification experiments refer to the dataset as SST-2 or SST binary?
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In which language is the text in the dataset?
In which language is the text in the dataset?
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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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