Building Real-time knowledge in Social Media on Focus Point: An Apache Spark Streaming Implementation

Sonam Sharma
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引用次数: 1

Abstract

Be it an individual, or a community or an organization, Social media has given rise to trends and interests which can be triggered for various reasons. Analyzing social media with this freely available interesting public information could yield interested results. Focus Point means the current trend and interest on twitter which can help us in analyzing multiple factors e.g. sensitivity of the ongoing trend, its spread, people getting affected, its effect on business and soon. Traditionally available approaches help us in analyzing batch data and finding interests and trends on it. Now with the advancements in the field of technology helps us in analyzing large amount of online data within seconds. Here we will be exploring twitter streams API in combination with latest technologies like Apache Spark Streaming. In this paper, we will propose our methodology of analyzing and exploring tweets in real-time with the extent of converting information we are getting from twitter to knowledge.
在焦点上建立社交媒体的实时知识:一个Apache Spark流实现
无论是个人,社区还是组织,社交媒体都引起了各种原因引发的趋势和兴趣。利用这些免费提供的有趣的公共信息分析社交媒体可能会产生有趣的结果。Focus Point指的是twitter上当前的趋势和兴趣,它可以帮助我们分析多个因素,例如当前趋势的敏感性,它的传播,受影响的人,它对商业的影响等等。传统上可用的方法可以帮助我们分析批量数据并从中找到兴趣和趋势。现在随着技术领域的进步,它可以帮助我们在几秒钟内分析大量的在线数据。在这里,我们将探索twitter流API与Apache Spark Streaming等最新技术的结合。在本文中,我们将提出我们实时分析和探索推文的方法,以及我们从推特获得的信息转化为知识的程度。
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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