Gespeichert in:
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| Format: | Recurso digital |
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| Veröffentlicht: |
Zenodo
2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.16947563 |
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Inhaltsangabe:
- <p>This dataset contains large-scale user reviews collected from the Google Play Store for five leading mobile banking applications in Türkiye: İşbank (İşCep), YapıKredi, Garanti BBVA, Akbank, and Ziraat Bank. The dataset includes more than <strong>250000</strong> user reviews, covering multiple dimensions of user experience such as satisfaction, complaints, feature requests, and performance feedback.</p> <p>Each record provides detailed information, including:</p> <ul> <li> <p><strong>package_name</strong> (unique identifier of the mobile banking app)</p> </li> <li> <p><strong>review_id</strong> (unique review identifier)</p> </li> <li> <p><strong>user_name</strong> (anonymized or pseudonymized user name)</p> </li> <li> <p><strong>content</strong> (review text)</p> </li> <li> <p><strong>score</strong> (star rating, 1–5)</p> </li> <li> <p><strong>thumbs_up_count</strong> (number of likes/upvotes)</p> </li> <li> <p><strong>app_version</strong> and <strong>review_created_version</strong></p> </li> <li> <p><strong>timestamps</strong> (UTC and Istanbul local time)</p> </li> <li> <p><strong>bank_name</strong> (associated financial institution)</p> </li> </ul> <p>The dataset was collected in August 2025 using the <strong>Google Play Scraper</strong> library, ensuring systematic extraction of publicly available app store data. All reviews are provided in <strong>Turkish (scrape_lang = "tr")</strong>, with precise timestamps for temporal analysis.</p> <p>This dataset can support research in:</p> <ul> <li> <p><strong>User experience analysis</strong> in digital banking</p> </li> <li> <p><strong>Sentiment analysis and opinion mining</strong></p> </li> <li> <p><strong>Topic modeling and service quality evaluation</strong></p> </li> <li> <p><strong>Time series forecasting of user satisfaction trends</strong></p> </li> <li> <p><strong>Comparative studies across multiple financial institutions</strong></p> </li> </ul> <p>Researchers, practitioners, and developers can use this dataset to explore trends in digital banking adoption, analyze service quality signals, and develop machine learning models for predicting user satisfaction in mobile financial technologies.</p>