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Survey on visual sentiment analysis

机译：视觉情绪分析调查

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Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions. Although this field is rather new, a broad range of techniques have been developed for various data sources and problems, resulting in a large body of research. This paper reviews pertinent publications and tries to present an exhaustive overview of the field. After a description of the task and the related applications, the subject is tackled under different main headings. The paper also describes principles of design of general Visual Sentiment Analysis systems from three main points of view: emotional models, dataset definition, feature design. A formalization of the problem is discussed, considering different levels of granularity, as well as the components that can affect the sentiment toward an image in different ways. To this aim, this paper considers a structured formalization of the problem which is usually used for the analysis of text, and discusses it's suitability in the context of Visual Sentiment Analysis. The paper also includes a description of new challenges, the evaluation from the viewpoint of progress toward more sophisticated systems and related practical applications, as well as a summary of the insights resulting from this study.
机译：视觉情绪分析旨在了解图像如何影响人们，就唤起情绪而言。虽然这个领域是相当的，但是为各种数据来源和问题开发了广泛的技术，导致大量的研究。本文评论有关的出版物，并试图呈现令人详尽的概述领域。在任务和相关应用程序的描述之后，主题在不同的主标题下进行粘附。本文还介绍了从三个要点的视角设计设计的一般视觉情绪分析系统的原则：情绪模型，数据集定义，功能设计。讨论了问题的正式化，考虑了不同水平的粒度，以及以不同方式影响朝向图像的情绪的组件。为此，本文考虑了一个结构化的正式化，该问题通常用于分析文本，并讨论了在视觉情绪分析的背景下的适用性。本文还包括对新挑战的描述，从朝着更复杂的系统和相关实际应用的进展的观点来看，评估，以及本研究引起的见解摘要。

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