Recent research trends for geospatial information explored by Twitter data

With the development of Social Networking Service (SNS), The recent trend of geospatial research is to obtain insights from SNS data. Among SNS, Twitter, unstructured data of geospatial big data, only provides Open API, thus enables everyone to analyze and to obtain insights on one’s topic of interest in real-time and low-cost. Twitter data have limitation that location prediction is difficult due to lack of location information. Numerous researches on location prediction of Twitter data have been done in various fields internationally, yet very limited number of researches has been conducted domestically. The reasons of scarce domestic researches are as follow: National researchers are still new to Twitter-related data gathering and morphological analysis, and they have difficulty understanding due to lack of related information. The purpose of this research is to provide future research directions for geospatial field researchers who wish to employ SNS data, by researching Twitter location prediction research trend, technology, and methodology.