DycomDetector: Discover topics using automatic community detections in dynamic networks
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چکیده
Due to the rapid expansion and heterogeneity of the data, it is a challenging task to discover the trends/paerns and relationships in the data, especially from a corpus of texts from published documents, news, and social media. In this paper, we introduce DycomDetector , a novel approach for topic modeling using community detections in dynamic networks. Our algorithm extracts the important terms/phrases, formulates a network of collocated terms, and then automatically renes the network on various features (such as term/relationship frequency, sudden changes in their ∗Dr. Tommy Dang is with the Department of Computer Science at Texas Tech University. †Vinh Nguyen is with the Department of Computer Science at Texas Tech University. ‡Md. Yasin Kabir is with the Department of Computer Science at Texas Tech University. KDD 2017 Workshop on Interactive Data Exploration and Analytics (IDEA’17), Halifax,
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تاریخ انتشار 2017