Abstract
In this article, we present the GeoCorpora corpus building framework and software tools as well as a geo-annotated Twitter corpus built with these tools to foster research and development in the areas of microblog/Twitter geoparsing and geographic information retrieval. The developed framework employs crowdsourcing and geovisual analytics to support the construction of large corpora of text in which the mentioned location entities are identified and geolocated to toponyms in existing geographical gazetteers. We describe how the approach has been applied to build a corpus of geo-annotated tweets that will be made freely available to the research community alongside this article to support the evaluation, comparison and training of geoparsers. Additionally, we report lessons learned related to corpus construction for geoparsing as well as insights about the notions of place and natural spatial language that we derive from application of the framework to building this corpus.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-29 |
| Number of pages | 29 |
| Journal | International Journal of Geographical Information Science |
| Volume | 32 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2 2018 |
All Science Journal Classification (ASJC) codes
- Information Systems
- Geography, Planning and Development
- Library and Information Sciences