Article Per Year (5 Year)
p-Index From 2019 - 2024
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This Author published in this journals
All Journal Maqasid al-Shariah Review Accounting and Sustainability
Syahdatul Maulida
Tazkia Islamic University
Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Social Sciences

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Twitter Sentiment Analysis on Credit Card Syahdatul Maulida; Aam Slamet Rusydiana
Maqasid al-Shariah Review Vol. 1 No. 1 (2022): Maqasid al-Shariah Review
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/msr.v1i1.259

Abstract

This research aims to evaluate the public's response to the global development of credit cards using primary data from Twitter tweets between January 1, 2019, and March 28, 2023. The research method employed is a qualitative approach using Python Library software called VADER (Valence Aware Dictionary and Sentiment Reasoner) to classify sentiments in these tweets. The research results indicate that the majority of the public has a neutral sentiment, accounting for approximately 97.6% towards credit cards, while positive sentiment reaches 1.7%, and negative sentiment is approximately 0.7%. Some keywords frequently appearing in the tweets include credit card, card needed, ASTRA Coins, card debt, and mobile users. It is expected that this research on public sentiment can assist relevant stakeholders in taking appropriate steps to enhance credit card usage and increase awareness and support for it. We also analyze the shariah perspective on credit card.
Twitter Sentiment Analysis on Green Finance Syahdatul Maulida; Bashir Ammar Hakim
Accounting and Sustainability Vol. 1 No. 1 (2022): Accounting and Sustainability
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/as.v1i1.256

Abstract

This research aims to analyze public sentiment regarding the development of green finance worldwide using primary data extracted from Twitter tweets. The research methodology employed is a qualitative approach with the utilization of Python Library software known as VADER (Valence Aware Dictionary and Sentiment Reasoner) to classify sentiments within these tweets. The findings of this study indicate that the majority of the public holds a positive sentiment of 60.2% towards green finance, followed by a neutral sentiment at 26.7%, and a negative sentiment at 13.1%. Some frequently mentioned keywords in the tweets include green finance, finance minister, sustainable finance, green energy, and green bond. The objective of this research is to provide a comprehensive overview of public perceptions of green finance, encompassing its positive aspects, advantages, potentials, and benefits, while also identifying potential weaknesses and threats associated with negative perceptions of green finance. With a better understanding of public sentiment, it is hoped that relevant stakeholders can take appropriate actions to strengthen the green finance ecosystem and raise awareness and support for sustainable finance.
Co-Authors Aam Slamet Rusydiana Bashir Ammar Hakim