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Adey Tarawneh, Aisyah Abdul-Rahman, Syajarul Imna Mohd Amin and Mohd Fahmi Ghazali
Financial technology (Fintech), characterized as technology-driven financial innovation, has catalyzed significant economic growth across various nations. The Fintech sector has experienced remarkable expansion, boasting vast user numbers. While regions ...
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Pascal Harth, Orlando Jähde, Sophia Schneider, Nils Horn and Rüdiger Buchkremer
In this research, we present an algorithm that leverages language-transformer technologies to automate the generation of product requirements, utilizing E-Shop consumer reviews as a data source. Our methodology combines classical natural language process...
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Richard Wen and Songnian Li
Many spatial decision support systems suffer from user adoption issues in practice due to lack of trust, technical expertise, and resources. Automated machine learning has recently allowed non-experts to explore and apply machine-learning models in the i...
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Jinlong Wang, Dong Cui and Qiang Zhang
With sentiment prediction technology, businesses can quickly look at user reviews to find ways to improve their products and services. We present the BertBilstm Multiple Emotion Judgment (BBMEJ) model for small-sample emotion prediction tasks to solve th...
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Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim and Jinoh Kim
A flying base station based on an unmanned aerial vehicle (UAV) uses its mobility to extend its connectivity coverage and improve its communication channel quality to achieve a greater communication rate and latency performances. While UAV flying base st...
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Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis and George E. Tsekouras
Recommender systems have become indispensable tools in the hotel hospitality industry, enabling personalized and tailored experiences for guests. Recent advancements in large language models (LLMs), such as ChatGPT, and persuasive technologies have opene...
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Qinyu Hu, Xiaomei Zhang, Fangqi Li, Zhushou Tang and Shilin Wang
Application marketplaces collect ratings and reviews from users to provide references for other consumers. Many crowdturfing activities abuse user reviews to manipulate the reputation of an app and mislead other consumers. To understand and improve the e...
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Huafeng Quan, Shaobo Li, Changchang Zeng, Hongjing Wei and Jianjun Hu
As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due to their strong subjectivity, limited survey scope, lack of real-time data, and poor ...
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Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, Mandar Gogate, Kia Dashtipour, Hani Almoamari, Mohammed A. El-Affendi, Bassam Naji Al-Tamimi, Faisal Albalwy and Amir Hussain
Social media networks have grown exponentially over the last two decades, providing the opportunity for users of the internet to communicate and exchange ideas on a variety of topics. The outcome is that opinion mining plays a crucial role in analyzing u...
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Aman Ullah, Khairullah Khan, Aurangzeb Khan and Shoukat Ullah
The trend of E-commerce and online shopping is increasing rapidly. However, it is difficult to know about the quality of items from pictures and videos available on the online stores. Therefore, online stores and independent products reviews sites share ...
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