Emoji icons have helped scientists train computers to understand sarcasm.Emoji表情符号有助科学家训练电脑以解读嘲讽。Researchers used 1.2 billion tweets containing at least one of the most popular 64 emojis to develop DeepMoji.研究人员搜集了12亿条推文，每条推文都最少有64种最热门表情符号中的一个，这是为了研发DeepMoji。The algorithm learned first to predict which emoji was likely to be used and then to recognise sarcasm, allowing it to spot hate speech faster than humans.该算法首先学会了预测哪些表情有可能被用于，然后辨识言语中的嘲讽情绪，让它比起人类更慢地找到仇恨言论。

It could also be used to assess how people really feel about different brands or to improve human interaction with smart programs such as chatbots.它还可以用来评估人们对有所不同品牌的现实感觉，或者改良与智能程序(如聊天机器人)的人际对话。Because we cant use intonation in our voice or body language to contextualise what we are saying, emojis are the way we do it online, Prof Iyad Rahwan told MITs Technology Review magazine.Iyad Rahwan向麻省理工学院的技术评论杂志透漏：“因为在网络上，我们会用于自己的声音或肢体语言来将我们所说的内容语境化，而是用表情符号。”Prof Iyad Rahwan and graduate student Bjarke Felbo have created a website inviting people to refine DeepMojis education by submitting and annotating their own messages.Iyad Rahwan教授和研究生Bjarke Felbo创立了一个网站，邀人们通过递交和注解自己的信息（中的情绪）来改良DeepMoji的训练。The pair also plan to release the algorithms code so it can be used by other researchers.他们还计划发布算法的代码，以便其他研究人员用于。

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