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Comparison of different machine learning techniques on location extraction by utilizing geo-tagged tweets: A case study 

Eligüzel, Nazmiye; Çetinkaya, Cihan; Dereli, T. (Elsevier Ltd, October 20)
In emergencies, Twitter is an important platform to get situational awareness simultaneously. Therefore, information about Twitter users’ location is a fundamental aspect to understand the disaster effects. But location ...
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Uluslararası Kızılhaç ve Kızılay Dernekleri Federasyonu'nun (IFRC) Twitter üzerinden makine öğrenimi tekniklerine dayalı içerik analizleri 

Dereli, Türkay; Eligüzel, Nazmiye; Çetinkaya, Cihan (SPRINGER, ŞUBAT 2021)
Intensity of natural disasters has substantially increased; disaster management has gained importance along with this reason. In addition, social media has become an integral part of disaster management. Before, during and ...
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Content analyses of the international federation of red cross and red crescent societies (ifrc) based on machine learning techniques through twitter 

Dereli, Türkay; Eligüzel, Nazmiye; Çetinkaya, Cihan (Springer Science and Business Media B.V., 2021)
Intensity of natural disasters has substantially increased; disaster management has gained importance along with this reason. In addition, social media has become an integral part of disaster management. Before, during and ...



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AuthorEligüzel, Nazmiye (3)Çetinkaya, Cihan (3)Dereli, Türkay (2)Dereli, T. (1)Subject
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Machine learning (3)Content analyses (2)IFRC (2)Topic labeling (2)Twitter (2)Geo-tagged (1)Location extraction (1)Sentiment (1)Tweet (1)... View MorePublication Typearticle (3)Languageeng (3)Publication CategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı (3)Access Typeinfo:eu-repo/semantics/openAccess (3)Date Issued2021 (1)Full Text StatusWith Full Text (3)

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