Analyzing social media has become a common way for capturing and understanding people's opinions, sentiments, interests, and reactions to ongoing events. Social media has thus become a rich and real‐time source for various kinds of public opinion and sentiment studies. According to psychology and neuroscience, human emotions are known to be strongly dependent on sensory perceptions. Although sensation is the most fundamental antecedent of human emotions, prior works have not looked into their relation to emotions based on social media texts. In this paper, we report the results of our study on sensation effects that underlie human emotions as revealed in social media. We focus on the key five types of sensations: sight, hearing, touch, smell, and taste. We first establish a correlation between emotion and sensation in terms of linguistic expressions. Then, in the second part of the paper, we define novel features useful for extracting sensation information from social media. Finally, we design a method to classify texts into ones associated with different types of sensations. The sensation dataset resulting from this research is opened to the public to foster further studies.

中文翻译：

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基于社交媒体发现人类情感的内在感觉

分析社交媒体已成为捕获和理解人们的观点，情感，兴趣和对正在进行的事件的反应的常用方法。因此，社交媒体已成为各种舆论和情感研究的丰富而实时的资源。根据心理学和神经科学，已知人类情感强烈依赖于感官知觉。尽管感觉是人类情感的最基本先决条件，但先前的著作并未基于社交媒体文本研究其与情感的关系。在本文中，我们报告了关于社交媒体所揭示的人类情感基础的感觉效应的研究结果。我们专注于五种主要的感觉：视觉，听觉，触觉，嗅觉和味觉。我们首先根据语言表达建立情感和感觉之间的相关性。然后，在本文的第二部分中，我们定义了可用于从社交媒体中提取感觉信息的新颖功能。最后，我们设计一种将文本分类为与不同类型的感觉相关联的方法。这项研究产生的感觉数据集向公众开放，以促进进一步的研究。