Vol. 1 No. 2 (2025): Regular Issue: June 2025

This regular June 2025 issue comprises five original research articles authored and co-authored by 12 contributors representing 6 countries: Indonesia, India, Jordan, United Kingdom, Pakistan, and Thailand.

DOI: https://doi.org/10.63913/jds.v1i2

Published: 2025-06-02

Emotion Detection in Railway Complaints Using Deep Learning and Transformer Models: A Data Mining Approach to Analyzing Public Sentiment on Twitter

👥 Jeffri Prayitno Bangkit Saputra, Aayush Kumar

📈 Abstract: 3

🗎 PDF

📄 109-122

🗎 PDF: 0

📌 10.63913/jds.v1i2.20

Gender-Based Analysis of New Year Resolutions on Twitter: A Clustering Approach Using K-means Algorithm

👥 Agung Dharmawan Buchdadi, Ammar Salamh Mujali Al-Rawahna

📈 Abstract: 2

🗎 PDF

📄 123-137

🗎 PDF: 0

📌 10.63913/jds.v1i2.19

Mining Public Sentiment and Trends in Social Media Discussions on Indonesian Presidential Candidates Using Support Vector Machines

👥 Satrya Fajri Pratama, Arif Mu'amar Wahid

📈 Abstract: 2

🗎 PDF

📄 138-151

🗎 PDF: 0

📌 10.63913/jds.v1i2.18

Sentiment Analysis of Public Discourse on Pakistan's Political Parties: A Comparative Study Using VADER and TextBlob Algorithms on Twitter Data

👥 Muhamad Irfan, Abdul Sattar, Ahmad Sher, Muhamad Ijaz

📈 Abstract: 3

🗎 PDF

📄 152-167

🗎 PDF: 0

📌 10.63913/jds.v1i2.17

Sentiment Analysis of Tweets on Afghan Women’s Rights Using Naive Bayes Classifier: A Data Mining Approach to Understanding Public Discourse

👥 Thosporn Sangsawang, Liu Yang

📈 Abstract: 1

🗎 PDF

📄 168-182

🗎 PDF: 0

📌 10.63913/jds.v1i2.16

Journal Metrics
Acceptance Rate	49%
Review Speed	45 days
Issues per Year	4
Number of Volumes	2
Number of Issues	5
Number of Articles	25
Number of Reviewers	5
Number of Contributors	57
Contributing Countries	6
WoS Citations	18
Scopus Citations	33
Google Scholar Citations	53
Abstract Views	2,422 views
PDF Downloads	1,016
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Articles

Emotion Detection in Railway Complaints Using Deep Learning and Transformer Models: A Data Mining Approach to Analyzing Public Sentiment on Twitter

Gender-Based Analysis of New Year Resolutions on Twitter: A Clustering Approach Using K-means Algorithm

Mining Public Sentiment and Trends in Social Media Discussions on Indonesian Presidential Candidates Using Support Vector Machines

Sentiment Analysis of Public Discourse on Pakistan's Political Parties: A Comparative Study Using VADER and TextBlob Algorithms on Twitter Data

Sentiment Analysis of Tweets on Afghan Women’s Rights Using Naive Bayes Classifier: A Data Mining Approach to Understanding Public Discourse