Abstract: Social Media such as Twitter has become one of the essential bases for supporting and evolving applications in several life fields such as commerce, manufacture, education and health. In the health section, the extraction of geolocation can be exploited in detecting epidemic outbreaks. This research aims at proposing a framework to improve the academic and scientific knowledge about a population health or any other fields interested in geolocation retrieval. The method has been implemented by incorporating google maps geocoding API into a dataset of social media networks for retrieving implicit geolocation. It has been applied on thousands tweets that have not had an explicit geolocation in the metadata. The findings obtained inclusion most dataset collected rather than ignore the users that have no explicit geolocation. The evaluation showed that there is a noticeable improvement in the dataset by including about 80% of users who did not have an explicit geolocation. Thus, their data can be used instead of ignoring it.
Haider M. Habeeb and Nabeel Al-A`araji, 2016. Extracting Implicit Geolocation Based on Google Maps Geocoding API of Social Media Networks. Research Journal of Applied Sciences, 11: 1083-1088.