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• W2251955066 abstract "In this paper, we build a corpus of tweets from Twitter annotated with keywords using crowdsourcing methods. We identify key differences between this domain and the work performed on other domains, such as news, which makes existing approaches for automatic keyword extraction not generalize well on Twitter datasets. These datasets include the small amount of content in each tweet, the frequent usage of lexical variants and the high variance of the cardinality of keywords present in each tweet. We propose methods for addressing these issues, which leads to solid improvements on this dataset for this task." @default.
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• W2251955066 date "2015-01-01" @default.
• W2251955066 modified "2023-10-14" @default.
• W2251955066 title "Automatic Keyword Extraction on Twitter" @default.
• W2251955066 cites W1525595230 @default.
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• W2251955066 doi "https://doi.org/10.3115/v1/p15-2105" @default.
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