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A Method for Automatically Generating the Emotional Vectors of Emoticons Using Weblog Articles

机译:一种使用Weblog文章自动生成表情符号情感向量的方法

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In recent years, reputation analysis services using weblogs, message boards, and community web sites have been developed. To improve the accuracy of the reputation analysis, we have to extract emotions or reactions of writers of documents accurately. Emoticons (Emojis) are often used in weblogs, and in many cases these emoticons have the role of modalities of writers of weblog articles. That is, to estimate emotions represented by emoticons is important for reputation analysis. In this study, we propose a method to create emotional vectors of emoticons automatically using the collocation relationship between emotional words and emoticons which is derived from many weblog articles.
机译:近年来,已经开发了使用Web日志,留言板和社区网站的信誉分析服务。为了提高声誉分析的准确性,我们必须准确地提取文档作者的情绪或反应。表情符号(Emojis)通常用于网络日志中,在许多情况下,这些表情符号具有网络日志文章作者的作用。也就是说,估计表情符号代表的情绪对于声誉分析很重要。在这项研究中,我们提出了一种方法,该方法利用情感词与表情符号之间的搭配关系自动创建表情符号的情感向量,该关系源自许多博客文章。

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