Task-oriented keyphrase extraction from social media

	Task-oriented keyphrase extraction from social media
	Wei Zhao; Jia Zhu; Qiang Qu; Wei Xu; YuZhi Liang; Min Yang
刊名	Multimedia Tools and Applications
	2017
文献子类	期刊论文
英文摘要	Keyphrase extraction from social media is a crucial and challenging task. Previous studies usually focus on extracting keyphrases that provide the summary of a corpus. However, they do not take users’ specific needs into consideration. In this paper, we propose a novel three-stage model to learn a keyphrase set that represents or related to a particular topic. Firstly, a phrase mining algorithm is applied to segment the documents into human-interpretable phrases. Secondly, we propose a weakly supervised model to extract candidate keyphrases, which uses a few pre-specific seed keyphrases to guide the model. The model consequently makes the extracted keyphrases more specific and related to the seed keyphrases (which reflect the user’s needs). Finally, to further identify the implicitly related phrases, the PMI-IR algorithm is employed to obtain the synonyms of the extracted candidate keyphrases. We conducted experiments on two publicly available datasets from news and Twitter. The experimental results demonstrate that our approach outperforms the state-of-the-art baselines and has the potential to extract high-quality task-oriented keyphrases.
URL标识	查看原文
语种	英语
WOS记录号	WOS:000425132600014
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11925]
专题	深圳先进技术研究院_其他
作者单位	Multimedia Tools and Applications
推荐引用方式 GB/T 7714	Wei Zhao,Jia Zhu,Qiang Qu,et al. Task-oriented keyphrase extraction from social media[J]. Multimedia Tools and Applications,2017.
APA	Wei Zhao,Jia Zhu,Qiang Qu,Wei Xu,YuZhi Liang,&Min Yang.(2017).Task-oriented keyphrase extraction from social media.Multimedia Tools and Applications.
MLA	Wei Zhao,et al."Task-oriented keyphrase extraction from social media".Multimedia Tools and Applications (2017).