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A Message Length Verification of Modern Messaging Systems

机译：现代消息系统的消息长度验证

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Nowadays, there has been a rapid increase in the variety and popularity of messaging systems and social networks. It is imperative to consider the effect and impact of the number of words feature on the verification process for modern messaging systems such as Twitter, Facebook, SMS and Email. Given the volume of text is often a restricted factor (due to the nature of messaging systems), key to this investigation is a better understanding of what length of message is required to improve performance. A large historical dataset containing 50 participants, the four datasets containing a large number of messaging system samples (4539 samples for Facebook, 13,616 for Twitter, 6538 for Email and 106,359 for Text message), the best performance was for Text messages, with an EER of 7.6% if the number of words was more than nine; followed by Email with an EER of 14.9% if the number of words was between 25 to 60; then, Twitter tweets, with an EER of 22.5% if the number of words was less than ten. Finally, the Facebook platform with an EER of 31.9% if the number of words was over 11.
机译：如今，消息传递系统和社交网络的种类和普及迅速增加。必须考虑单词特征数量的效果和影响，以获得现代消息系统的验证过程，例如Twitter，Facebook，SMS和电子邮件。鉴于文本的数量通常是一个限制因素（由于消息传递系统的性质），这项调查的关键是更好地理解需要哪些信息来提高性能。包含50名参与者的大型历史数据集，包含大量消息传递系统样本的四个数据集（Facebook的4539个样本，Twitter为13,616，用于电子邮件的6538和短信为106,359），最佳性能是短信，带有eer如果单词数量超过九个，则为7.6％;接下来，如果单词数量在25到60之间，那么电子邮件为14.9％;然后，Twitter推文，如果单词数量小于十，eer为22.5％。最后，如果单词数量超过11，Facebook平台为31.9％。

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