TOPONYM RECOGNITION ON TURKISH TWEETS

Date

2014-04-25

Author

Onal, Kezban Dilek
Karagöz, Pınar
Çakıcı, Ruket

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Toponym recognition, Geoparsing, Twitter

URI

https://hdl.handle.net/11511/55390

Conference Name

22nd IEEE Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

K. D. Onal, P. Karagöz, and R. Çakıcı, “TOPONYM RECOGNITION ON TURKISH TWEETS,” presented at the 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Karadeniz Teknik Univ, Trabzon, TURKEY, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55390.