NewsInsider: Innovating News Understanding to Improve the Quality of Reading Experience

被引：0
|
作者：
Wang, Zhengkui [1 ]
Chowdhury, Soumyadeb [2 ]
Low, Malcolm Yoke Hean [1 ]
Shan, Wen [3 ]
机构：
[1] Singapore Inst Technol, InfoComm Technol Cluster, Singapore, Singapore
[2] Touluse Business Sch, Informat Operat & Management Sci, Toulon, France
[3] Singapore Univ Social Sci, SR Nathan Sch Human Dev, Singapore, Singapore
来源：
2021 2ND ASIA CONFERENCE ON COMPUTERS AND COMMUNICATIONS (ACCC 2021) | 2021年
关键词：
geo-tagging news; topic detection; named entity extraction; news classification; artificial intelligence;
D O I：
10.1109/ACCC54619.2021.00027
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Currently, with the advent of myriad news applications, which have increased the volume of information, users are faced with the challenge of discovering this information effectively and efficiently. In this paper, we present one web-based news platform, NewsInsider, providing an array of novel features for exploring and reading news in Singapore. NewsInsider integrates multiple news crawlers to extract news from online sources, employs news analytics and Artificial Intelligence to automatically process the news (e.g., categorizing the news, extracting trending topics, detecting the named entities, and tagging the geographic location to the news). Based on all the extracted information, NewsInsider provides the readers with novel search functionalities to find news stories using the location, categories, topics, entities, and postcodes. Additionally, NewsInsider employs visual graphs and a master-detailed interface to present the information related to news stories in a meaningful and intuitive way.
引用
收藏
页码：122 / 126
页数：5
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