Vol. 1 No. 1 (2025): Regular Issue: March 2025

This regular March 2025 issue comprises five original research articles authored and co-authored by 10 contributors representing 6 countries: Poland, Kingdom of Saudi Arabia, Indonesia, Taiwan, Singapore and Malaysia.

DOI: https://doi.org/10.63913/jds.v1i1

Published: 2025-03-08

Sentiment and Emotion Analysis of Public Discourse on ChatGPT Using VADER Sentiment Analysis

👥 Iwona Chomiak-Orsa, Ibrahiem M. M. El Emary, Elwira Gross-Gołacka

📈 Abstract: 4

🗎 PDF

📄 1-19

🗎 PDF: 1

📌 10.63913/jds.v1i1.25

Analyzing Company Hiring Patterns Using K-Means Clustering and Association Rule Mining: A Data-Driven Approach to Understanding Recruitment Trends in the Digital Economy

👥 Min-Tsai Lai, Taqwa Hariguna

📈 Abstract: 3

🗎 PDF

📄 20-43

🗎 PDF: 1

📌 10.63913/jds.v1i1.24

Sentiment Trend Analysis of SpaceX Tweets Using Time-Series Sentiment Classification with TextBlob Algorithm

👥 Minh Luan Doan

📈 Abstract: 2

🗎 PDF

📄 44-67

🗎 PDF: 0

📌 10.63913/jds.v1i1.23

Sentiment Analysis of Public Discourse on Education in Indonesia Using Support Vector Machine (SVM) and Natural Language Processing

👥 B Herawan Hayadi, Ika Maulita

📈 Abstract: 2

🗎 PDF

📄 69-90

🗎 PDF: 0

📌 10.63913/jds.v1i1.22

Exploring Financial Trends through Topic Modeling and Time-Series Analysis: A Clustering Approach Using Latent Dirichlet Allocation (LDA) on Twitter Data

👥 Deshinta Arrova Dewi, Tri Basuki Kurniawan

📈 Abstract: 2

🗎 PDF

📄 91-108

🗎 PDF: 1

📌 10.63913/jds.v1i1.21

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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

Sentiment and Emotion Analysis of Public Discourse on ChatGPT Using VADER Sentiment Analysis

Analyzing Company Hiring Patterns Using K-Means Clustering and Association Rule Mining: A Data-Driven Approach to Understanding Recruitment Trends in the Digital Economy

Sentiment Trend Analysis of SpaceX Tweets Using Time-Series Sentiment Classification with TextBlob Algorithm

Sentiment Analysis of Public Discourse on Education in Indonesia Using Support Vector Machine (SVM) and Natural Language Processing

Exploring Financial Trends through Topic Modeling and Time-Series Analysis: A Clustering Approach Using Latent Dirichlet Allocation (LDA) on Twitter Data