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Comparison of different machine learning techniques on location extraction by utilizing geo-tagged tweets: A case study
(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 ...
Uluslararası Kızılhaç ve Kızılay Dernekleri Federasyonu'nun (IFRC) Twitter üzerinden makine öğrenimi tekniklerine dayalı içerik analizleri
(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 ...
Content analyses of the international federation of red cross and red crescent societies (ifrc) based on machine learning techniques through twitter
(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 ...
Evaluation of service quality using SERVQUAL scale and machine learning algorithms: a case study in health care
(EMERALD GROUP PUBLISHING LTD, JUL 2021)
Purpose This study aims to propose a service quality evaluation model for health care services. Design/methodology/approach In this study, a service quality evaluation model is proposed based on the service quality measurement ...
