The Sentiment Analysis of Fintech Users Using Support Vector Machine and Particle Swarm Optimization Method

Warjiyono,; Aji, Sopian; Fandhilah,; Hidayatun, Nunung; Faqih, Husni; Liesnaningsih,

doi:10.1109/citsm47753.2019.8965348

Cited by 10 publications

(9 citation statements)

References 6 publications

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“…This means that the promotion has a positive effect on building customer trust. Warjiyono et al (2019) conducted research on Fintech users in Tegal City, especially the Ovo application, since it currently has a very massive market and promotion. They found that users choosing the Fintech application generally consider convenience, security, transaction suitability, convenience, and cashback.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Perceived Ease of Use, Security, and Promotion on Trust and Its Implications on Fintech Adoption

Nangin

Barus

Wahyoedi

2020

JCS

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The advancement of mobile devices and their usage has increased the uptake of fintech innovation. These new technologies should provide ease of use and give advantages to their customers. On the other side, mobile application security threats have increased tremendously and have become a great challenge for both users, in this case, as customers, and fintech innovators. Meanwhile, service should be promoted to the customers to establish fintech's brand to society. This research empirically examined the components affecting the expectations of users to adopt fintech. By collecting 100 samples who have already used a couple of brands of Fintech and Sakuku as their payment method, and by utilizing Structural Equation Modeling- Partial Least Square (SEM-PLS) as the technique of analysis, the empirical results definitely confirmed that perceived ease of use (PEOU) and promotion positively and significantly affected the customer trust. Meanwhile, security did not significantly affect trust. The finding also implied that in order to increase the fintech adoption rate, customer trust should be built.

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Section: Discussionmentioning

confidence: 99%

The Effects of Perceived Ease of Use, Security, and Promotion on Trust and Its Implications on Fintech Adoption

Nangin

Barus

Wahyoedi

2020

JCS

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“…The researchers around the world put a significant contribution toward the sentiment analysis of the population toward FinTech. Many research researchers reported case studies 31,32 to identify population interest, while some researchers 33,34 used deep learning and other shallow architectures for sentiment analysis purposes. While other reported survey papers 25,35 for identifying challenges and security risks in the FinTech-driven applications.…”

Section: Related Workmentioning

confidence: 99%

“…Chinnasamy et al, 7 Duque et al, 33 Warjiyono et al, 34 Mei et al, 43 Seara et al, 45 Caragea et al, 53 Selim, 58 Anagnostopoulos, 65 Ju ¨nger and Mietzner, 68 Boot et al, 81 Laidroo and Avarmaa, 89 Palladino, 90 Yao and Song, 95 Mention, 97 Panos and Wilson, 98 Yoon and Jun, 100 Das, 107 Awotunde et al, 112 4.…”

Section: Ai and Mlbased Modelsmentioning

confidence: 99%

“…Brown and Piroska, 91 Friedline and Chen 105 Advanced hybrid deep learning models Some researchers like Warjiyono et al 34 and Seara et al 45 have proposed SVEM, particle Swarm methods, and machine learning techniques for sentiment analysis of FinTech users. But all these models are binary classifiers and shows poor performance in case of multi-class problems (for calculating behavior of people from different multiple aspects).…”

Section: Regulatory Sandboxmentioning

confidence: 99%

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Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

Khan

Nazir

2022

Measurement and Control

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Globally, with the maturity of information technology, society is now in the information age, magnifying the significance of integrating innovative applications in different financial and other regulatory arenas. The emergence of financial technology (FinTech) based applications has transformed the traditional banking and regulatory systems and enhanced customer satisfaction by providing a balanced environment for protecting its customers from risky behavior or other potential disruptions. Besides these critical applications of FinTech in the financial industry, it is not developed in the Gulf Cooperation Council (GCC) region as in China, United States, and other developed countries. In order to bridge the gaps in the extant by identifying the critical factors involved, this research work presents a systematic analysis of the available literature reported during the period ranging from 2016 to 2021. This systematic mapping of the extant was performed by selecting five different research questions. The key objectives of this systematic research work are, (1) To identify the barriers that restrict the rise of FinTech in the GCC region, (2) Analyze the behavior of different communities regarding the adaptation of FinTech by evaluating the case studies reported, (3) the impacts of FinTech on different communities in the GCC region. (4) The findings of this research work will not only help the state development bodies by encouraging its stakeholders to use FinTech-driven applications in banking, markets, etc. but it will also help the people in maintaining long-term connection with the Ministries of Foreign Affairs, the Dutch regulators, Economic Affairs, the Dutch Central Bank (DNB), as well as with the Authority on Financial Markets (AFM), and (5) this study work will present new research directions for the research community to explore in the near future.

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“…In recent years, social media has evolved as a virtual place that allows users to express their worries about the environment and health in addition to other problems of public interest such as transportation [3], health [4], [5], education [6], [7], communication [7], and economics [8] [9]. The usage of social media to carry out day-to-day activities is highly prevalent all over the world.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Ensemble Machine Learning Classifier and Synthetic Minority Oversampling Technique for Sentiment Analysis of Sustainable Development Goals in Indonesia

Gufroni,

Hoeronis,

Fajar

et al. 2024

JOIV : Int. J. Inform. Visualization

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As part of the Sustainable Development Goals (SDGs), governments worldwide have committed to improving people's lives to improve the quality of life for all, including the 17 such goals that were agreed upon in 2015 to benefit the human race as a whole. It would be interesting to see how society responds to the SDGs after approximately half of them have been achieved. This public response was analyzed in terms of sentiment. Within the total number of internet users in Indonesia, there are 18.45 million Twitter users. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. To model the data collected, the researchers used Ensemble Machine Learning Classifiers (EMLC) to model the data by using a machine learning classifier that uses machine learning techniques. The best model in this study is EMLC-Stacking with a data splitting of 80:20 and using SMOTE, which obtains an accuracy of 91%. This accuracy results from a 5% increase compared to when not using SMOTE. From 15,698 tweets, this research found that 47% were positive sentiments, 28% were negative sentiments, and 25% were neutral sentiments. The results that we measured offer hope that there will be a positive trend in the journey of the SDGs until 2030 if these findings are true.

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The Sentiment Analysis of Fintech Users Using Support Vector Machine and Particle Swarm Optimization Method

Cited by 10 publications

References 6 publications

The Effects of Perceived Ease of Use, Security, and Promotion on Trust and Its Implications on Fintech Adoption

The Effects of Perceived Ease of Use, Security, and Promotion on Trust and Its Implications on Fintech Adoption

Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

Implementation of Ensemble Machine Learning Classifier and Synthetic Minority Oversampling Technique for Sentiment Analysis of Sustainable Development Goals in Indonesia

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