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News Document Summarization Driven by User-Generated Content

News Document Summarization Driven by User-Generated Content

Luca Cagliero, Alessandro Fiori
Copyright: © 2013 |Pages: 22
ISBN13: 9781466628069|ISBN10: 1466628065|EISBN13: 9781466628076
DOI: 10.4018/978-1-4666-2806-9.ch007
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MLA

Cagliero, Luca, and Alessandro Fiori. "News Document Summarization Driven by User-Generated Content." Social Media Mining and Social Network Analysis: Emerging Research, edited by Guandong Xu and Lin Li, IGI Global, 2013, pp. 105-126. https://doi.org/10.4018/978-1-4666-2806-9.ch007

APA

Cagliero, L. & Fiori, A. (2013). News Document Summarization Driven by User-Generated Content. In G. Xu & L. Li (Eds.), Social Media Mining and Social Network Analysis: Emerging Research (pp. 105-126). IGI Global. https://doi.org/10.4018/978-1-4666-2806-9.ch007

Chicago

Cagliero, Luca, and Alessandro Fiori. "News Document Summarization Driven by User-Generated Content." In Social Media Mining and Social Network Analysis: Emerging Research, edited by Guandong Xu and Lin Li, 105-126. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2806-9.ch007

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Abstract

Experiments performed on real collections of news articles and driven by on-topic Twitter posts show the effectiveness of the proposed approach.

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