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Analyzing the public discourse on works of fiction - Detection and visualization of emotion in online coverage about HBO's Game of Thrones.
Information Processing & Management ( IF 7.4 ) Pub Date : 2016-04-12 , DOI: 10.1016/j.ipm.2015.02.003
Arno Scharl 1 , Alexander Hubmann-Haidvogel 1 , Alistair Jones 2 , Daniel Fischl 2 , Ruslan Kamolov 2 , Albert Weichselbraun 3 , Walter Rafelsberger 4
Affiliation  

This paper presents a Web intelligence portal that captures and aggregates news and social media coverage about "Game of Thrones", an American drama television series created for the HBO television network based on George R.R. Martin's series of fantasy novels. The system collects content from the Web sites of Anglo-American news media as well as from four social media platforms: Twitter, Facebook, Google+ and YouTube. An interactive dashboard with trend charts and synchronized visual analytics components not only shows how often Game of Thrones events and characters are being mentioned by journalists and viewers, but also provides a real-time account of concepts that are being associated with the unfolding storyline and each new episode. Positive or negative sentiment is computed automatically, which sheds light on the perception of actors and new plot elements.

中文翻译:

分析有关小说作品的公共话语-在线检测HBO的《权力的游戏》中的情感,并将其可视化。

本文介绍了一个Web情报门户网站,该门户网站捕获并汇总了有关“权力的游戏”的新闻和社交媒体报道,这是根据乔治·RR·马丁的奇幻小说系列为HBO电视网创建的美国戏剧电视连续剧。该系统从英美新闻媒体的网站以及四个社交媒体平台上收集内容:Twitter,Facebook,Google +和YouTube。具有趋势图和同步的可视化分析组件的交互式仪表板,不仅可以显示记者和观众提到《权力的游戏》事件和角色的频率,而且还可以实时了解与展开的故事情节以及每个故事相关的概念。新剧集。积极情绪或消极情绪是自动计算的,
更新日期:2019-11-01
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