NDLI: The hot topics evaluation and key issues in online news about emergency events

Content Provider	IEEE Xplore Digital Library
Author	Liping Chen Junping Du Shimohara, K. Maoqiang Song
Copyright Year	2012
Description	Author affiliation: Department of Information Systems Design, Doshisha University, Kyotanabe City, Kyoto, Japan (Shimohara, K.) \|\| Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing University of Posts and Telecommunications, China (Maoqiang Song) \|\| Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China (Liping Chen; Junping Du)
Abstract	This paper concentrates on the evaluation system of hot topics in the online news about the emergency events. First, the overall technology framework of the system was established and description was formulated on the key issues need to be resolved prior to the evaluation of the hot topics. Focusing on the vector representation of the news documents and clustering algorithm of the news topics, a modified TF-IDF text representation model was formulated and an improved selection method of initial topic clustering center was established. The evaluation model of the hot topics was then established to evaluate the heat value of the clustered topics based on extracting websites feature parameters, such as the time properties of the news reports, reporting properties, and user attention. Finally, the paper takes news of 2011 Japan Earthquake as data source for algorism and model evaluation. The results showed that the identification and evaluation system of hot topics in online news about the emergency events was valid, and the evaluation result of hot topics by the systems agreed with the expected results. It lays a foundation for the subsequent studying about the tracking and evolution of the hot topics.
Starting Page	407
Ending Page	412
File Size	180052
Page Count	6
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6357909
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Heating Feature extraction Media Educational institutions Earthquakes Time frequency analysis heat evaluation model emergency events hot topic modified TF-IDF clustering
Content Type	Text
Resource Type	Article

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