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Emoji icons have helped scientists train computers to understand sarcasm.
Emoji表情符号有助于科学家训练电脑以理解讽刺。
Researchers used 1.2 billion tweets containing at least one of the most popular 64 emojis to develop DeepMoji.
研究人员收集了12亿条推文，每条推文都至少有64种最受欢迎表情符号中的一个，这是为了开发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可能被使用，然后识别言语中的讽刺情绪，让它能比人类更快地发现仇恨言论。
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不同品牌的真实感受，或者改进与智能程序(如聊天机器人)的人际互动。
"Because we can't 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 MIT's Technology Review magazine.
Iyad Rahwan向麻省理工学院的技术评论杂志透露：“因为在网络上，我们不会使用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 DeepMoji's education by submitting and annotating their own messages.
Iyad Rahwan教授和研究生Bjarke Felbo创建了一个网站，邀请人们通过提交和注释自己的信息（中的情绪）来改进DeepMoji的训练。
The pair also plan to release the algorithm's code so it can be used by other researchers.
他们还计划公布算法的代码，以便其他研究人员使用。
