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README.md
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### Dataset Summary
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by Maddela et al..
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"STAN large, our new expert curated dataset, which includes all 12,594 unique English hashtags and their
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associated tweets from the same Stanford dataset.
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STAN small is the most commonly used dataset in previous work. However, after reexamination, we found annotation
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errors in 6.8% of the hashtags in this dataset, which is significant given that the error rate of the state-of-the art
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models is only around 10%. Most of the errors were related to named entities. For example, #lionhead,
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which refers to the “Lionhead” video game company, was labeled as “lion head”.
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We therefore constructed the STAN large dataset of 12,594 hashtags with additional quality control for human annotations."
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### Languages
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### Dataset Summary
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Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
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### Languages
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