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Exploiting Geo-tagged Tweets to Understand Localized Language Diversity
2007
Proceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data - GeoRich'14
Social media services are the top-growing online communities in the last few years. Among those, Twitter becomes the de facto of microblogging services with millions of tweets posted everyday. In this paper, we present an analytical study for localized language usage and diversity in Twitter data using a half billion geotagged tweets. We first identify local Twitter communities on a country-level. For the identified communities, we examine (1) the language diversity, (2) the language dominance
doi:10.1145/2619112.2619114
dblp:conf/sigmod/0001GMM14
fatcat:a6dcwvk2yvcrfp65mlkiglb2ou