Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications

Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications

Amid the growing demand for digital identity solutions, applications like Privy, VIDA, and Xignature offer integrated digital signature and e-stamp services, generating extensive user feedback on platforms like Google Play Store and App Store. Extracting meaningful insights from thousands of reviews...

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Bibliographic Details
Main Authors: Efriza Cahya Narendra, Amalia Anjani Arifiyanti, Tri Luhur Indayanti Sugata
Format: Article
Language:English
Published: Institut Teknologi Dirgantara Adisutjipto 2025-06-01
Series:Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls
Subjects:
aspect-based sentiment analysis
multilabel classification
imbalanced data resampling
digital signature
e-stamp
Online Access:https://ejournals.itda.ac.id/index.php/avitec/article/view/3023
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