DocumentCode
655101
Title
Finding News in a Haystack - Event Based News Clustering with Social Media Based Ranking
Author
Weber, Matthias ; Lamers, Maarten H.
Author_Institution
Media Technol. MSc Program, Leiden Inst. of Adv. Comput. Sci., Netherlands
fYear
2013
fDate
Sept. 30 2013-Oct. 2 2013
Firstpage
321
Lastpage
326
Abstract
We present NewsClu, an approach to collect, cluster, categorize and select news articles from the Internet. The framework is not limited to a certain field, resort or division of news - it is capable to work on any topic and runs on real time live data on the Internet. NewsClu keeps its user informed about that particular topic by filtering, organizing, ranking and clustering of news according to static, dynamic and social factors. Through event based clustering the framework filters duplicate and less relevant news, making it easier to read more interesting news in less time. NewsClu is innovative in terms of clustering and ranking compared to other approaches.
Keywords
information filtering; information resources; pattern clustering; social networking (online); Internet; NewsClu; event based news clustering; social media based ranking; Facebook; Google; Internet; Media; Software; Twitter; Web pages; Aggregation; Clustering; News; NewsClu; Text Similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud and Green Computing (CGC), 2013 Third International Conference on
Conference_Location
Karlsruhe
Type
conf
DOI
10.1109/CGC.2013.57
Filename
6686049
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