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Sharing emotions: determining films’ evoked emotional experience from their online reviews
Information Retrieval Journal ( IF 1.7 ) Pub Date : 2020-05-09 , DOI: 10.1007/s10791-020-09373-1
Osnat Mokryn , David Bodoff , Nadim Bader , Yael Albo , Joel Lanir

Online reviews are broadly believed to reflect consumers’ opinions towards the reviewed items. In this work, we postulate that online reviews for experience goods also reflect something very different, the reviewer’s emotions while experiencing the item. We study the case of films, which are made with the intent of evoking an emotional response. We postulate that the emotions that the viewer experienced while watching the movie are reflected in their online review, and can be reliably extracted from it. We aggregate these emotional experiences to create an emotional signature for the film—the emotions that it tends to evoke in viewers. We conduct a series of validations, each designed to offer evidence that the emotional signature indeed reflects the emotions that the film evokes in viewers. Our results demonstrate that experience goods’ online reviews can be utilized for extracting and understanding users’ emotional experience. Items’ induced emotions can be used in affective recommender systems and affective multimedia retrieval. In addition, users’ ability to easily see in advance the emotions that the item has induced in others, is relevant for research on the effect of expected emotions on decision-making.

中文翻译:

分享情感:根据在线评论确定电影的诱发情感体验

人们普遍认为,在线评论可以反映出消费者对评论项目的看法。在这项工作中,我们假设对体验商品的在线评论也反映了非常不同的东西,即评论者在体验商品时的情绪。我们研究电影的情况,其目的是引起情感反应。我们假设观众在观看电影时所经历的情感会反映在他们的在线评论中,并且可以从中可靠地提取出来。我们汇总了这些情感体验,为电影创造了一种情感特征-它往往会引起观众的情感。我们进行了一系列验证,每次验证都旨在提供证据,证明情感特征确实反映了影片唤起观众的情感。我们的结果表明,体验商品的在线评论可用于提取和理解用户的情感体验。项目引起的情绪可用于情感推荐系统和情感多媒体检索中。另外,用户容易地预先查看该物品在其他人中引起的情绪的能力与研究预期情绪对决策的影响有关。
更新日期:2020-05-09
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