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

Zhengkui Wang, Soumyadeb Chowdhury, Malcolm Yoke Hean Low, Wen Shan
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引用次数: 1

Abstract

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.
新闻内幕:创新新闻理解,提高阅读体验质量
当前,随着各种新闻应用程序的出现,信息量的增加,用户面临着如何有效、高效地发现这些信息的挑战。在本文中,我们提出了一个基于网络的新闻平台,NewsInsider,为探索和阅读新加坡的新闻提供了一系列新颖的功能。NewsInsider集成了多个新闻爬虫从在线资源中提取新闻,使用新闻分析和人工智能来自动处理新闻(例如,对新闻进行分类,提取趋势主题,检测命名实体,并为新闻标记地理位置)。基于所有提取的信息,NewsInsider为读者提供了新颖的搜索功能,可以使用位置、类别、主题、实体和邮政编码来查找新闻故事。此外,NewsInsider采用可视化图表和主-详细界面,以有意义和直观的方式呈现与新闻故事相关的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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