News Headlines: What They Can Tell Us?

Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 2014 - I-CARE 2014 Pub Date : 2014-10-09 DOI:10.1145/2662117.2662121

S. Mazumder, Bazir Bishnoi, D. Patel

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引用次数: 10

Abstract

News headlines represent the key idea of news articles published in online news media and act as a great resource for discovering news concepts and their relationships. Moreover, the temporal information associated with the news headlines can be utilized to capture the temporal dynamics of the news concepts and their relationships which facilitates the development of many time-aware news analytics applications. Existing works on news data analytics have mostly dealt with news articles, but none of them has talked about the usefulness of news headlines in news data analytics research. In this paper, we analyze the potentiality of news headlines in inferring interesting facts of the news world. We show how news headlines can help us to capture the temporal dynamics of the news concepts and their relationships. We introduce the notion of Time-aware News Concept Graph to capture the said temporal dynamics and show how it opens the doorway of developing numerous interesting news analytics applications. The results of our analysis conform to the facts of the reality and advocate for the success of our effort.

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新闻头条:它们能告诉我们什么?

新闻标题代表了网络新闻媒体发布的新闻文章的核心思想，是发现新闻概念及其关系的重要资源。此外，与新闻标题相关的时间信息可以用来捕捉新闻概念及其关系的时间动态，这有助于开发许多具有时间意识的新闻分析应用程序。现有的新闻数据分析工作主要是处理新闻文章，但没有一个讨论新闻标题在新闻数据分析研究中的有用性。在本文中，我们分析了新闻标题在推断新闻世界有趣事实方面的潜力。我们将展示新闻标题如何帮助我们捕捉新闻概念及其关系的时间动态。我们引入了时间感知新闻概念图的概念来捕捉上述时间动态，并展示了它如何为开发许多有趣的新闻分析应用程序打开了大门。我们的分析结果符合现实的事实，并主张我们的努力取得成功。

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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Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 2014 - I-CARE 2014

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