Publication | Open Access
GeoCorpora: building a corpus to test and train microblog geoparsers
90
Citations
34
References
2017
Year
Microblog/twitter GeoparsingEngineeringGeographic Information RetrievalLocation-aware Social MediumCorpus LinguisticsJournalismText MiningNatural Language ProcessingSocial MediaInformation RetrievalData ScienceGeovisual AnalyticsComputational LinguisticsGeo-annotated TweetsMicroblog GeoparsersLanguage StudiesContent AnalysisMachine TranslationSocial Medium MiningNlp TaskGeographyKnowledge DiscoveryGeosocial NetworkGeospatial SemanticsVolunteered Geographic InformationSocial Medium DataLinguistics
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.
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