Guest Editors
Prof. Vasile-Daniel PĂVĂLOAIA
Email: danpav@uaic.ro
Affiliation: Department Accounting, Information Systems and Statistics, Alexandru Ioan Cuza University of Iasi, Iași, 700505, Romania
Homepage:
Research Interests: natural language processing, sentiment analysis for social media, neural networks, algorithms
Prof. Cristian-Eugen CIUREA
Email: cristian.ciurea@ie.ase.ro
Affiliation: Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania
Homepage:
Research Interests: mobile application development, object oriented programming, algorithm design and analysis, data structures
Dr. Viorel-Costin BANȚA
Email: viorel.banta@cig.ase.ro
Affiliation: Department of Management Information Systems/ Academy of Economic Studies, Bucharest, 010001,Romania
Homepage:
Research Interests: ERP, RPA, information systems, intelligent automation, user experience
Summary
Mobile equipment and applications dominate access to Social Media platforms, profoundly shaping user behavior and generating unique data characteristics. Effectively analyzing the mobile Social Media data implies advanced Natural Language Processing (NLP) techniques specifically adapted to the unique opportunities and constraints of this environment.
This Special Issue targets the critical intersection of Advanced NLP, Social Media analysis, and mobile context. The Special Issue seeks high-quality research and systematic reviews on advanced NLP approaches (including Neural Networks and Deep Learning), algorithms, and their applications tailored for the particularities of mobile Social Media data, novel applications leveraging unique mobile capabilities (such as location, context-awareness), and innovative studies using NLP to understand or enhance mobile Social Media User Experience (UX). The aim is to gather original research tackling the areas of NLP, Mobile Computing, and Human-Computer Interaction to share cutting-edge findings on advanced algorithms, innovative applications, and UX studies, advancing the research on the understanding of Social Media in its predominant mobile form.
· Advanced NLP Algorithms for Mobile Social Media
· Location-Based and Context-Aware Social Media Analysis
· Multimodal NLP for Mobile Social Content
· NLP approaches for analyzing and interpreting reactions on Social Media
· NLP for Enhancing Mobile Social User Experience (UX)
· Sentiment Analysis, Emotion Recognition, and Opinion Mining on of Social Media environment
· Novel NLP-Powered Mobile Social Applications
· Information Credibility, Misinformation, and Trust analysis within the Social Media ecosystem using NLP
· Privacy, Fairness, and Ethical Considerations involving the use of NLP in various domains
Keywords
Natural Language Processing (NLP), social media analysis, mobile computing, deep learning, user experience (UX), sentiment analysis, location-aware computing, multimodal NLP, AI algorithms, responsible AI
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