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Automatic Analysis of Natural Disaster Messages on Social Media Using IndoBERT and Multilingual BERT
Safitri, Yasmin Dwi
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Lambung Mangkurat University
; Kartini, Dwi
; Lambung Mangkurat University
; Saragih, Triando Hamonangan
; Lambung Mangkurat University
; Abadi, Friska
; Lambung Mangkurat University
; Bachtiar, Adam Mukharil
; Japan Advanced Institute of Science and Technology
Telematika
Vol 18
, No 2
(2025)
Information about natural disasters disseminated through social media can serve as an important data source for mitigation processes and early warning systems. Social media platforms, such as X (formerly known as Twitter), have become primary channels for conveying real-time information, especially during disaster emergencies. With the large amount of unstructured disaster-related text that must be processed, the main challenge is accurately filtering and classifying messages into three categori...
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Classification of COVID-19 Cough Sounds using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Support Vector Machine
Mafazy, Muhammad Meftah
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Lambung Mangkurat University
; Kartini, Dwi
; Lambung Mangkurat University
; Indriani, Fatma
; Lambung Mangkurat University
; Saragih, Triando Hamonangan
; Lambung Mangkurat University
Telematika
Vol 16
, No 2
(2023)
A lot of research has been carried out to detect COVID-19, such as swabs, rapid antigens, and using x-ray images. However, this method has the disadvantage that it requires taking samples through physical contact with the patient. One way to avoid physical contact is to use audio through coughing with the aim of reducing the transmission of COVID-19. Audio feature extraction such as the Mel Frequency Cepstral Coefficient (MFCC) has often been used in audio classification research, such as the cl...
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