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README.md
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This is a larger dataset of keyphrases that can be used for academic search. They were largely generated from over 1 billion ngrams, filtering out specific stop words, and each have
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count >= 5 in the original dataset. Additionally, the keyphrases you see here had a high score of tf-idf, where term frequency inverse document frequency has had "document" adjusted
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for academic subfields. The less subfields the phrase occured in, the higher the score. So, this dataset is a fairly large dataset of around the 3-4 million most important keyprases you'd encounter
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for searching for academic articles.
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This is a larger dataset of keyphrases that can be used for academic search. They were largely generated from over 1 billion ngrams, filtering out specific stop words, and each have
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count >= 5 in the original dataset. Additionally, the keyphrases you see here had a high score of tf-idf, where term frequency inverse document frequency has had "document" adjusted
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for academic subfields. The less subfields the phrase occured in, the higher the score. So, this dataset is a fairly large dataset of around the 3-4 million most important keyprases you'd encounter
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for searching for academic articles. It includes names of algorithms, niche subfields, scientific concepts, diseases, and so on.
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