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• W2169939276 abstract "In recent years, Twitter has become a popular platform for following and spreading trends, news and ideas all over the world. Geographical scope of tweets is crucial to many tasks like disaster management, event tracking and information retrieval. First step for assigning a geographical location to a tweet is toponym recognition. Toponym Recognition (Geoparsing) is identification of toponyms (place names) in a text. In this study, we investigated performance of three existing approaches for toponym recognition on Turkish tweets. We conducted experiments for measuring performance of the existing approaches on a sample data set. Best results have been obtained with the NER algorithm by Kucuk et.al. However, we observed that existing NER algorithms for Turkish neglect the syntactic and semantic features of text." @default.
• W2169939276 created "2016-06-24" @default.
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• W2169939276 date "2014-04-01" @default.
• W2169939276 modified "2023-09-27" @default.
• W2169939276 title "Toponym recognition on Turkish tweets" @default.
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• W2169939276 doi "https://doi.org/10.1109/siu.2014.6830590" @default.
• W2169939276 hasPublicationYear "2014" @default.
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