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	Topical keyphrase extraction from Twitter
	Zhao, Wayne Xin ; Jiang, Jing ; He, Jing ; Song, Yang ; Achananuparp, Palakorn ; Lim, Ee-Peng ; Li, Xiaoming
	2011
英文摘要	Summarizing and analyzing Twitter content is an important and challenging task. In this paper, we propose to extract topical keyphrases as one way to summarize Twitter. We propose a context-sensitive topical PageRank method for keyword ranking and a probabilistic scoring function that considers both relevance and interestingness of keyphrases for keyphrase ranking. We evaluate our proposed methods on a large Twitter data set. Experiments show that these methods are very effective for topical keyphrase extraction. ? 2011 Association for Computational Linguistics.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294872]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhao, Wayne Xin,Jiang, Jing,He, Jing,et al. Topical keyphrase extraction from Twitter. 2011-01-01.

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