Field-Theoretic Modeling Method for Emotional Context in Social Media: Theory and Case Study

机译：社交媒体情感语境的场论建模方法：理论与案例研究

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Just as masses and charges give rise to gravitational and electric fields, the online behaviors of individuals engaged in online social discourse give rise to an "emotional context" that conditions, and is conditioned by, these behaviors. Using Information Geometry and Unsupervised Learning, we have formulated a mathematical field theory for modeling online emotional context. This theory has been used to create a soft-ware application, Sirius15, that infers, characterizes, and visualizes the field structure ("emotional context") arising from this discourse. A mathematical approach is presented to social media modeling that enables automated characterization and analysis of the emotional context associated with social media interactions. The results of a small, preliminary case study carried out by our team are presented.

机译：就像群众和电荷产生引力场和电场一样，从事在线社会话语的个人的在线行为也会产生一种“情感情境”，该情境以这些行为为条件并以这些行为为条件。通过使用信息几何和无监督学习，我们制定了数学场论来对在线情绪情境进行建模。该理论已被用于创建软件应用程序Sirius15，该应用程序可以推断，表征和可视化由此产生的场域结构（“情感语境”）。为社交媒体建模提供了一种数学方法，该方法可以自动表征和分析与社交媒体互动相关联的情感环境。介绍了我们小组进行的小型初步案例研究的结果。

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《International conference on human-computer interaction;International conference on augmented cognition》|2015年|418-425|共8页
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Monte Hancock; Shakeel Rajwani; Chloe Lo; Suraj Sood; Elijah Kresses; Cheryl Bleasdale; Nathan Dunkel; Elise Do; Gareth Rees; Jared Steirs; Christopher Romero; Dan Strohschein; Keith Powell; Rob French; Nicholas Fedosenko; Chris Casimir;
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Field-Theoretic Modeling Method for Emotional Context in Social Media: Theory and Case Study

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