Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling
Yıl: 2022 Cilt: 5 Sayı: 3 Sayfa Aralığı: 371 - 384 Metin Dili: İngilizce DOI: 10.35377/saucis.05.03.1121830 İndeks Tarihi: 31-12-2022
Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling
Öz: This study investigates how cargo companies, with a significant market share in Turkey's service sector, managed their last-mile activities during the Covid-19 outbreak and suggests the solution to the adverse outcomes. The data used in the study included complaints made for cargo companies from an online complaint management website called sikayetvar.com from the start of the pandemic to the date of the research, which contained words related to the pandemic and was collected using Python language and the Scrapy module web scraping methods. Multilabel classification algorithms were used to categorize complaints based on assessments of training data obtained according to the topics. Results showed that parcel delivery-related themes were the most often complained about, and a considerable portion were delay issues.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA | Kuyucuk T, ÇALLI L (2022). Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. , 371 - 384. 10.35377/saucis.05.03.1121830 |
Chicago | Kuyucuk Tolga,ÇALLI Levent Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. (2022): 371 - 384. 10.35377/saucis.05.03.1121830 |
MLA | Kuyucuk Tolga,ÇALLI Levent Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. , 2022, ss.371 - 384. 10.35377/saucis.05.03.1121830 |
AMA | Kuyucuk T,ÇALLI L Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. . 2022; 371 - 384. 10.35377/saucis.05.03.1121830 |
Vancouver | Kuyucuk T,ÇALLI L Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. . 2022; 371 - 384. 10.35377/saucis.05.03.1121830 |
IEEE | Kuyucuk T,ÇALLI L "Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling." , ss.371 - 384, 2022. 10.35377/saucis.05.03.1121830 |
ISNAD | Kuyucuk, Tolga - ÇALLI, Levent. "Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling". (2022), 371-384. https://doi.org/10.35377/saucis.05.03.1121830 |
APA | Kuyucuk T, ÇALLI L (2022). Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. Sakarya University Journal of Computer and Information Sciences (Online), 5(3), 371 - 384. 10.35377/saucis.05.03.1121830 |
Chicago | Kuyucuk Tolga,ÇALLI Levent Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. Sakarya University Journal of Computer and Information Sciences (Online) 5, no.3 (2022): 371 - 384. 10.35377/saucis.05.03.1121830 |
MLA | Kuyucuk Tolga,ÇALLI Levent Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. Sakarya University Journal of Computer and Information Sciences (Online), vol.5, no.3, 2022, ss.371 - 384. 10.35377/saucis.05.03.1121830 |
AMA | Kuyucuk T,ÇALLI L Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. Sakarya University Journal of Computer and Information Sciences (Online). 2022; 5(3): 371 - 384. 10.35377/saucis.05.03.1121830 |
Vancouver | Kuyucuk T,ÇALLI L Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling. Sakarya University Journal of Computer and Information Sciences (Online). 2022; 5(3): 371 - 384. 10.35377/saucis.05.03.1121830 |
IEEE | Kuyucuk T,ÇALLI L "Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling." Sakarya University Journal of Computer and Information Sciences (Online), 5, ss.371 - 384, 2022. 10.35377/saucis.05.03.1121830 |
ISNAD | Kuyucuk, Tolga - ÇALLI, Levent. "Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling". Sakarya University Journal of Computer and Information Sciences (Online) 5/3 (2022), 371-384. https://doi.org/10.35377/saucis.05.03.1121830 |