[HTML][HTML] Modern computing: Vision and challenges

SS Gill, H Wu, P Patros, C Ottaviani, P Arora… - … and Informatics Reports, 2024 - Elsevier
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model

G Jouan, ES Arnardottir, AS Islind… - European Journal of …, 2024 - Elsevier
Abstract Machine learning (ML) models have become a key component in modern world
services. In decision-making domains where human expertise is crucial, for example, for …

From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework

RK Ray, A Singh - Journal of Retailing and Consumer Services, 2025 - Elsevier
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …

[HTML][HTML] How does the perception of informal green spaces in urban villages influence residents' complaint Sentiments? a Machine learning analysis of Fuzhou City …

Z Chen, H Yang, P Ye, X Zhuang, R Zhang, Y Xie… - Ecological …, 2024 - Elsevier
Abstract Informal Green Spaces (IGS) are unplanned and often overlooked vital green
resources in urban environments. Previous research suggests that IGS can affect residents' …

Industry-sensitive language modeling for business

P Borchert, K Coussement, J De Weerdt… - European Journal of …, 2024 - Elsevier
We introduce BusinessBERT, a new industry-sensitive language model for business
applications. The key novelty of our model lies in incorporating industry information to …

Enhancing environmental governance: A text-based artificial intelligence approach for project evaluation involvement

A Leal, S Maldonado, JI Martínez, S Bertazzo… - Environmental Impact …, 2025 - Elsevier
The emergence of text analytics through deep learning has unlocked a myriad of
possibilities for automating administrative tasks within both corporate and governmental …

They forgot me! The exclusionary effects among complaining consumers when others receive a response

Z Ben, P Shukla - Psychology & Marketing, 2024 - Wiley Online Library
Complaint management is often considered a significant cost center, and it may be difficult
for companies to treat all complainers equally in physical settings where complainers can …

The power of satellite imagery in credit scoring: a spatial analysis of rural loans

M Leng, Z Li, W Dai, B Shi - Annals of Operations Research, 2024 - Springer
In credit scoring, both traditional financial information and novel soft information can be used
to predict the probability of default. While numerous attempts to use textual data as a type of …

Evrişimsel Sinir Ağları Tabanlı Derin Öğrenme Yöntemiyle Müşteri Şikayetlerinin Sınıflandırılması

MF Tuna, Y Görmez - Bingöl Üniversitesi İktisadi ve İdari Bilimler …, 2024 - dergipark.org.tr
Günümüzde, artan nüfus ve değişen ihtiyaçlar doğrultusunda firma sayıları giderek artmakta
ve firmalar büyümektedir. Bu bağlamda, aynı alanda faaliyet gösteren birçok firma ortaya …