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Spatiotemporal mining in microblogs
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ntaflos, Lefteris Papadias, Dimitris |
| Copyright Year | 2014 |
| Abstract | Recently, microblogging services are getting increasing attention from the research community. A main cause of this trend is their inherent spatial and temporal information, which can find several uses, such as identifying local trends and events, detecting emergency situations, predicting and monitoring natural phenomena, etc. The growing demand of location based services for the purpose of user profiling, marketing, advertising and recommending, adds even more applications to this movement. In this survey we group microblog spatiotemporal mining into three main categories: i) user location estimation, ii) topic, event, and trend detection, and iii) correlation between topics and locations. The state of the art approaches for those problems span the fields of natural language processing, information retrieval, machine learning, text mining and database management. We present and analyze several of those techniques, in order to gain a better understanding of their underlying mechanisms. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cse.ust.hk/~entaflos/PQE-Ntaflos.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
