[HTML][HTML] Natural language processing applied to tourism research: A systematic review and future research directions

MÁ Álvarez-Carmona, R Aranda… - Journal of king Saud …, 2022 - Elsevier
The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

Analysing app reviews for software engineering: a systematic literature review

J Dąbrowski, E Letier, A Perini, A Susi - Empirical Software Engineering, 2022 - Springer
App reviews found in app stores can provide critically valuable information to help software
engineers understand user requirements and to design, debug, and evolve software …

How do crowd-users express their opinions against software applications in social media? A fine-grained classification approach

ND Khan, JA Khan, J Li, T Ullah, A Alwadain… - IEEE …, 2024 - ieeexplore.ieee.org
App stores allow users to search, download, and purchase software applications to
accomplish daily tasks. Also, they enable crowd-users to submit textual feedback or star …

What factors affect the UX in mobile apps? A systematic map** study on the analysis of app store reviews

WT Nakamura, EC de Oliveira, EHT de Oliveira… - Journal of Systems and …, 2022 - Elsevier
Researchers and practitioners are becoming aware of the importance of User eXperience
(UX) in mobile app development. Develo** merely usable apps became insufficient to …

How Subjective Well-Being Evolved Over Time: Insights from Bibliometric and Text Mining Analyses

R Cataldo, LS Alaimo, MG Grassia… - Applied Research in …, 2024 - Springer
The work investigates the evolution of subjective well-being research based on bibliometric
analysis and text mining techniques. It provides a comprehensive overview of the …

Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps.

W Yafooz, A Alsaeedi - Computers, Materials & Continua, 2024 - search.ebscohost.com
In the last decade, technical advancements and faster Internet speeds have also led to an
increasing number of mobile devices and users. Thus, all contributors to society, whether …

Enhancing user trust and interpretability in AI-driven feature request detection for mobile app reviews: an explainable approach

I Gambo, R Massenon, CC Lin, RO Ogundokun… - IEEE …, 2024 - ieeexplore.ieee.org
Mobile app developers struggle to prioritize updates by identifying feature requests within
user reviews. While machine learning models can assist, their complexity often hinders …

Identifying barriers of financial app usage and their impact on negative emotions, customer ratings and recommendation intention: a text-mining based approach

S Das, A Ray - Asia-Pacific Journal of Business Administration, 2024 - emerald.com
Purpose Limited studies in the mobile payment segment have attempted at understanding
the factors that resist customers from using financial apps or mobile payment services …

User Perception Analysis of Online Learning Platform “Zenius” During the Coronavirus Pandemic Using Text Mining Techniques

AFA Arminditya Fajri Akbar… - Jurnal Sistem …, 2021 - eprints.triatmamulya.ac.id
Availability of access to online learning platforms is expected to support online learning
activities amid the COVID-19 pandemic. There are several issues experienced by students …

Unveiling User Perspectives: Exploring Themes in Femtech Mobile App Reviews for Enhanced Usability and Privacy

N Nellore, T Mishra, M Zimmer - Proceedings of the ACM on Human …, 2024 - dl.acm.org
Femtech, a growing sector in mobile healthcare technology, caters to women's needs across
various life stages with digital solutions like period tracking and pregnancy management …