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A method for automatic estimation of meaning ambiguity of emoticons based on their linguistic expressibility

机译：一种基于表情表达能力的表情符号含义歧义自动估计方法

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The ways of how people communicate on the Internet have adapted to the limited communication channel. Since the most meaning-rich while also concise and compressible mean of communication is still represented by textual information, Internet communication has adapted to support it with other information required for natural communication, while retaining the consistency of the medium. One of the means widely used by many generations of Internet users are the emoticons, used to express information that cannot be fully transmitted only by text, such as emotions or feelings. However, not all emoticons developed and widely used everyday are easily understandable to all users. Emoticon usage proficiency differs among specific persons, as well as between more general user groups. Moreover, the meaning of emoticons themselves can also be ambiguous, especially, when used without other information. In this research, we aimed to determine a correspondence between emoticons and linguistic expressions corresponding to them, such as onomatopoeia, etc., to estimate the general level of meaning ambiguity of emoticons. In the research, we first performed a survey in which we asked users about which emoticon conveys which meaning. Then we applied the results of the survey to quantify the understandability, or meaning ambiguity, of the emoticons. Based on the quantification, we propsed a method for specifying the emoticon's meaning ambiguity, in which we applied the aility of the emotion to be expressed in everyday vocabulary, or its linguistic expressibility. Three versions of the proposed method showed that it is possible to estimate emoticon meaning ambiguity, although future experiments and additional data collection is required to maximize the performance. The method could help users apply more meaningful and understandable emoticons in their everyday communication. (C) 2019 Elsevier B.V. All rights reserved.
机译：人们在Internet上进行通信的方式已经适应了有限的通信渠道。由于仍然以文本信息表示最丰富，同时又最简洁和可压缩的通信方式，因此Internet通信已经适应了自然通信所需的其他信息的支持，同时又保持了媒体的一致性。表情符号是许多代互联网用户广泛使用的一种手段，用于表达仅靠文字不能完全传递的信息，例如情感或感觉。但是，并非每天开发和广泛使用的所有表情符号都容易为所有用户所理解。表情符号使用熟练程度在特定人员之间以及更一般的用户组之间有所不同。此外，表情符号本身的含义也可能是模棱两可的，尤其是在没有其他信息的情况下使用。在这项研究中，我们旨在确定表情符号和与其对应的语言表达之间的对应关系，例如拟声词等，以估计表情符号含义歧义的一般水平。在研究中，我们首先进行了一项调查，询问了哪些表情符号传达了哪些含义。然后，我们将调查结果应用于量化表情符号的可理解性或含义歧义。在量化的基础上，我们提出了一种用于指定表情符号含义歧义的方法，在这种方法中，我们运用了要在日常词汇中表达的情感的能力或语言的表达能力。所提出方法的三个版本表明，可以估计图释含义的歧义性，尽管需要将来的实验和额外的数据收集来最大化性能。该方法可以帮助用户在日常交流中应用更有意义和可理解的表情。 （C）2019 Elsevier B.V.保留所有权利。

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