Discovering newsworthy themes from sequenced data: A step towards computational journalism

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 k -Sketch query that aims to find k striking streaks to best summarize a subject. Our scoring fun...

Full description

Saved in:
Bibliographic Details
Main Authors: FAN, Qi, LI, Yuchen, ZHANG, Dongxiang, TAN, Kian-Lee Tan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Computational journalism
news theme discovery
sequenced data
approximate algorithms
Databases and Information Systems
Data Storage Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/3996
https://ink.library.smu.edu.sg/context/sis_research/article/4998/viewcontent/07883865__1_.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3996
https://ink.library.smu.edu.sg/context/sis_research/article/4998/viewcontent/07883865__1_.pdf

Similar Items