A survey of location inference techniques on Twitter
A survey of location inference techniques on Twitter
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DOI：
10.1177/0165551515602847
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发表时间：
2015-12-01
影响因子：
2.4
通讯作者：
Liu, Weiru
中科院分区：
文献类型：
--
作者：
Ajao, Oluwaseun;Hong, Jun;Liu, Weiru
社交网络服务“推特”日益普及，使其更多地参与日常通信，加强社会关系和信息传播。目前正在探索将Twitter上的对话作为预警系统的指标，以提醒人们注意即将发生的自然灾害，如地震，并帮助迅速对犯罪作出紧急反应。生产者享有特权，可以从消费者在社交媒体和微博上的评论中无限地获得市场认知。根据用户的个人资料信息，如人口统计、兴趣和位置，可以使定向广告更加有效。虽然这些应用程序已被证明是有益的，但有效推断Twitter用户位置的能力具有更大的价值。然而，准确识别信息的来源或作者的位置仍然是一个挑战，因此基本上推动了这方面的研究。在本文中，我们调查了一系列的技术应用于推断Twitter用户的位置，从成立到最先进的状态。我们发现显着的改进，随着时间的推移，在粒度级别和更好的准确性与结果驱动的改进算法和包含更多的空间特征。
The increasing popularity of the social networking service, Twitter, has made it more involved in day-to-day communications, strengthening social relationships and information dissemination. Conversations on Twitter are now being explored as indicators within early warning systems to alert of imminent natural disasters such as earthquakes and aid prompt emergency responses to crime. Producers are privileged to have limitless access to market perception from consumer comments on social media and microblogs. Targeted advertising can be made more effective based on user profile information such as demography, interests and location. While these applications have proven beneficial, the ability to effectively infer the location of Twitter users has even more immense value. However, accurately identifying where a message originated from or an author's location remains a challenge, thus essentially driving research in that regard. In this paper, we survey a range of techniques applied to infer the location of Twitter users from inception to state of the art. We find significant improvements over time in the granularity levels and better accuracy with results driven by refinements to algorithms and inclusion of more spatial features.