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- W72860874 abstract "AbstractTwitter users who tweet daily information on the local area are valuable information sources for location-based services. In this paper, we propose a novel method for searching for such local Twitter users on the basis of the linguistic features of their tweets. At first, by analyzing and comparing tweets describing different local areas, we extract regional terms of a target area from three aspects: the regional distributions of terms, the regional distribution of users whose tweets contain those terms, and the temporal distribution of tweets. Then, we construct a local area feature vector to represent the target area and compare it with a user vector to find local users. The experimental results validate our methods.KeywordsMicroblogTwitterLocal informationRegional terms" @default.
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- W72860874 date "2014-01-01" @default.
- W72860874 modified "2023-09-23" @default.
- W72860874 title "Searching for Local Twitter Users by Extracting Regional Terms" @default.
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- W72860874 doi "https://doi.org/10.1007/978-3-319-10073-9_8" @default.
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