Geographical locations of microblog users are essential for user profiling, event localization and target advertising, to name a few. Automatic identification of user locations from the corresponding microblogs has been explored for decades. This paper presents a survey of existing studies on the problem of microblog user geolocalisation. Specifically, we present a general framework for the geolocalisation of microblog users. In this framework, the location-related information is presented along with the overview of the microblogging platforms. Furthermore, the main steps of the framework are introduced in detail. The state-of-the-art geolocalisation methods are categorized into three classes: the text-based methods, the network-based methods, and the multiview-based methods. Moreover, the advantages and limitations of the existing methods are analyzed theoretically and experimentally. Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research.

微博用户的地理位置对于用户配置文件，事件本地化和目标广告至关重要，仅举几例。从相应的微博自动识别用户位置已经探索了数十年。本文介绍了有关微博用户地理定位问题的现有研究概况。具体来说，我们为微博用户的地理定位提供了一个总体框架。在此框架中，与位置相关的信息与微博平台的概述一起呈现。此外，详细介绍了该框架的主要步骤。最新的地理定位方法可分为三类：基于文本的方法，基于网络的方法和基于多视图的方法。此外，从理论和实验上分析了现有方法的优缺点。调查结果得出结论，基于多视图的方法优于基于文本的方法和基于网络的方法。除此之外，现有的用户地理定位方法无法捕获用户的家乡位置更改，从而导致错误判断结果。而且，如何从多个社交平台定位用户相对来说还没有解决。因此，跨多个社交平台的用户地理定位是值得进一步研究的问题之一。导致错误的结果。而且，如何从多个社交平台定位用户相对来说还没有解决。因此，跨多个社交平台的用户地理定位是值得进一步研究的问题之一。导致错误的结果。而且，如何从多个社交平台定位用户相对来说还没有解决。因此，跨多个社交平台的用户地理定位是值得进一步研究的问题之一。