Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism

Automatic discovery of newsworthy themes from sequenced data can relieve journalists from manually poring over a large amount of data in order to find interesting news. In this paper, we propose a novel <inline-formula> <tex-math notation="LaTeX">k</tex-math> <inline-g...

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Bibliographic Details
Published in:	IEEE transactions on knowledge and data engineering Vol. 29; no. 7; pp. 1398 - 1411
Main Authors:	Fan, Qi, Li, Yuchen, Zhang, Dongxiang, Tan, Kian-Lee
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Algorithms approximate algorithms Approximation Approximation algorithms Automation Computational efficiency Computational journalism Computing time Datasets Electronic commerce Electronic mail Engineering profession Games History News news theme discovery Pruning Query processing Run time (computers) Running sequenced data Summaries
ISSN:	1041-4347, 1558-2191
Online Access:	Get full text
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