表情符号和词嵌入如何帮助揭示在线消息传递过程中的情感转变
How emoji and word embedding helps to unveil emotional transitions during online messaging
摘要：
在网上聊天时，肢体语言和声音特征不是沟通机制的一部分，这使得准确解释感觉、情绪和态度变得非常困难。使用表情符号来表达情感是这些类型的沟通中的另一种方法。在这个项目中，我们专注于在与聊天机器人的在线消息会话中建模客户的情绪。我们使用情感控制理论（ACT）来预测互动过程中的情绪变化。为了让客户使用表情符号，我们还扩展了ACT使用的情感词典。为此，我们映射到情感空间的xuji2vec嵌入。我们的框架可以发现消息传递过程中的情绪变化以及客户的反应如何相应地改变。
英文摘要：
During online chats, body-language and vocal characteristics are not part of the communication mechanism making it challenging to facilitate an accurate interpretation of feelings, emotions, and attitudes. The use of emojis to express emotional feeling is an alternative approach in these types of communication. In this project, we focus on modeling a customer's emotion in an online messaging session with a chatbot. We use Affect Control Theory (ACT) to predict emotional change during the interaction. To let the customer use emojis, we also extend the affective dictionaries used by ACT. For this purpose, we mapped Emoji2vec embedding to the affective space. Our framework can find emotional change during messaging and how a customer's reaction is changed accordingly.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
