Analysing Emerging Topics across Multiple Social Media Platforms

Rashmi Pokharel, P. D. Haghighi, P. Jayaraman, Dimitrios Georgakopoulos
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引用次数: 7

Abstract

The ability to compose emerging topics from the data collected from multiple social media platforms can help individuals and organisations meet their business goals and improve decision-making, as such information can provide more complete and accurate information. However, existing research has mainly focused on analysing emerging topics from the posts and related data collected from a single social media platform. In this paper, we propose a framework referred to as Multi-source Social Topic Media Analysis (xSMA) framework to model, rank and semantically analyse emerging topics across various social media platforms. The implementation and evaluation of the xSMA framework using real-world datasets obtained from Twitter and Reddit are also described.
分析跨多个社交媒体平台的新兴话题
从多个社交媒体平台收集的数据中组合新兴主题的能力可以帮助个人和组织实现其业务目标并改进决策,因为这些信息可以提供更完整和准确的信息。然而,现有的研究主要集中在分析从单一社交媒体平台收集的帖子和相关数据中出现的话题。在本文中,我们提出了一个被称为多源社会话题媒体分析(xSMA)框架的框架,用于对各种社交媒体平台上的新兴话题进行建模、排名和语义分析。还描述了使用从Twitter和Reddit获得的真实数据集实现和评估xSMA框架。
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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