5 Questions
What is the Stanford Sentiment Treebank?
The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language.
How many unique phrases are included in the Stanford Sentiment Treebank?
The Stanford Sentiment Treebank includes a total of 215,154 unique phrases from the parse trees.
What are the 5 labels used to annotate each phrase in the SST-5 corpus?
The 5 labels used are negative, somewhat negative, neutral, somewhat positive, and positive.
What is the difference between the SST-5 and SST-2 datasets?
The SST-5 corpus includes all 5 sentiment labels, while the SST-2 dataset is used for binary classification experiments on full sentences, with only negative or somewhat negative vs somewhat positive or positive labels.
How was the Stanford Sentiment Treebank parsed?
The Stanford Sentiment Treebank was parsed with the Stanford parser.
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