Social Network Analysis and Mining, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 18, 2025
Language: Английский
Human Behavior and Emerging Technologies, Journal Year: 2024, Volume and Issue: 2024(1)
Published: Jan. 1, 2024
This study explores the adoption and societal implications of an emerging technology such as Chat Generative Pre‐Trained Transformer (ChatGPT) in higher education students. By utilizing a mixed‐method framework, this research combines Rogers’ diffusion innovation theory with sentiment analysis, offering innovative methodological approach for examining educational settings. It five attributes—relative advantage, compatibility, ease use, observability, trialability—shaping students’ behavioral intentions toward ChatGPT. Sentiment analysis offers qualitative depth, revealing emotional perceptual aspects, introduces gender‐based perspective. The results suggest that attributes significantly impact rates perceptions ChatGPT, indicating its potential transformative social change within sector. Gen Zs viewed ChatGPT innovative, compatible, user‐friendly, enabling independent pursuit goals. Consequently, benefits provided by motivate students to use tool. Gender differences were observed prioritization attributes, male favoring while female emphasized relative trialability. findings have understanding how technological innovations could be strategically diffused across different segments, especially academic context where ethical considerations integrity are paramount. underscores need demographic‐sensitive, user‐centric design generative artificial intelligence (AI) technologies.
Language: Английский
Citations
23
Published: April 24, 2024
The enhancement of the Chinese Large Language Model, Kimi, through integration automated error correction mechanisms and feedback loops, was explored in this study. primary objective to develop implement a system that reduces linguistic errors real-time adapts dynamically evolving language patterns without extensive retraining. Using combination natural processing techniques machine learning algorithms, demonstrated significant improvements accuracy, precision, recall, user satisfaction compared baseline model. introduction adaptive components enabled continuous improvement user-driven model adaptation. findings indicate such enhancements can substantially increase reliability efficiency Models, particularly non-English contexts, setting precedent for future research development field. study’s implications extend broader applications AI, suggesting potential other models AI systems requiring high sensitivity adaptability.
Language: Английский
Citations
12
Knowledge and Information Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 6, 2024
Language: Английский
Citations
9
Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129695 - 129695
Published: Feb. 1, 2025
Language: Английский
Citations
1
Advances in public policy and administration (APPA) book series, Journal Year: 2025, Volume and Issue: unknown, P. 243 - 276
Published: Jan. 24, 2025
Technology with Artificial intelligence (AI) continues to evolve daily and transform public administrations. This study focuses on natural language processing (NLP), one of the effective AI technologies. Sustainability will be addressed within context sustainable administration which is long-term impact sustainability services. suggests that NLP a vital tool for reform enhancement in administration, proposing assumptions its potential improve efficiency, transparency, inclusiveness administration. It explains usage areas application examples. Thus, three main issues are examined: environmental, economic social. In addition, critical challenges such as diversity, data privacy ethical addressed, solutions sought. aims present significant promoting creates an important roadmap researchers, policy makers practitioners.
Language: Английский
Citations
1
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 2148 - 2148
Published: Feb. 18, 2025
Public opinion comments are important for the public to express their emotions and demands. Accordingly, identifying contained in taking corresponding countermeasures according changes of great theoretical practical significance online management. This study took a event at college as an example. Firstly, microblogs comment data related were crawled with Python coding, pre-processing operations such cleaning, word splitting, de-noising carried out; then, stage was divided into phases based on daily sound volume, Baidu index, key time points event. Secondly, sentiment analysis, supplementary dictionary constructed SO-PMI algorithm merged commonly used pre-annotate corpus; RoBERTa–BiLSTM–Attention model classify microblog comments; after that, four evaluation indexes selected ablation experiments set up verify performance model. Finally, results classification, we drew trends evolution graphs analysis. The showed that significantly improved pre-labelling accuracy. achieved 91.56%, 90.87%, 91.07%, 91.17% accuracy, precision, recall, F1-score, respectively. situation notification, expert response, regulatory dynamics, secondary will trigger significant fluctuations volume sentiment.
Language: Английский
Citations
1
PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0315768 - e0315768
Published: Jan. 8, 2025
Artificial Intelligence (AI) assists recruiting and job searching. Such systems can be biased against certain characteristics. This results in potential misrepresentations consequent inequalities related to people with mental health disorders. Hence occupational bias existing Natural Language Processing (NLP) models used hunting must assessed. We examined disorders NLP through relationships between occupations, employability, psychiatric diagnoses. investigated Word2Vec GloVe embedding algorithms analogy questions graphical representation of cosine similarities. embeddings exhibit minor when asked analogies regarding employability attributes no evidence high earning jobs. view common such as depression less healthy employable than severe most physical conditions. Overall, physical, are seen similarly employable. Both appear safe for use downstream task without major repercussions. Further research is needed confirm this. project was funded by the London Interdisciplinary Social Science Doctoral Training Programme (LISS-DTP). The funders had role study design, data collection analysis, decision publish, or preparation manuscript.
Language: Английский
Citations
0
Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 7
Published: Jan. 15, 2025
The rapid adoption and evolving nature of artificial intelligence (AI) is playing a significant role in shaping the music streaming industry. AI has become key player transforming digital industry, particularly enhancing user experiences driving subscription growth. Through automation, platforms personalize recommendations, optimize offerings, improve customer support services. This article reviews consumer behaviors on (DMSP), with focus recommendation algorithms, dynamic pricing models, marketing future Potential challenges related to privacy, ethics, algorithmic biases are also discussed, showcasing how revolutionizing
Language: Английский
Citations
0
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 856 - 856
Published: Jan. 16, 2025
Online misogyny is a significant societal challenge that reinforces gender inequalities and discourages women from engaging fully in digital spaces. Traditional moderation methods often fail to address the dynamic context-dependent nature of misogynistic language, making adaptive solutions essential. This study presents framework integrates advanced natural-language processing techniques with strategic data augmentation improve detection content. Key contributions include emoji decoding interpret symbolic communication, contextual expansion using Sentence-Transformer models, LDA-based topic modeling enhance richness understanding. The incorporates machine-learning, deep-learning, Transformer-based models handle complex nuanced language. Performance analysis highlights effectiveness selected comparative results emphasize transformative role augmentation. significantly enhanced model robustness, improved generalization, strengthened
Language: Английский
Citations
0
Smart and Sustainable Built Environment, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 20, 2025
Purpose This study identifies key challenges to adopting smart real estate (SRE) technologies and offers insights recommendations enhance decision-making for stakeholders, including buyers property investors. Design/methodology/approach To achieve the aim of study, a rigorous research approach was employed, conducting an in-depth analysis 41 academic papers utilising PRISMA guidelines checklists. The chosen methodology also applies PEST (Political, Economic, Social Technological) framework identify factors influencing technology adoption in sector. Findings uncovers critical technologies, such as regulatory ambiguity, high implementation costs, societal resistance. reveals that unclear standards guidelines, coupled with financial burden implementation, are significant obstacles. Socially, resistance change difficulties integrating new prevalent. underscores potential artificial intelligence (AI) predictive analytics blockchain secure transactions records, though their is currently hindered by inadequate infrastructure challenges. These findings underscore need strategic interventions address these facilitate effective integration advanced sector, thereby enhancing industry innovation competitiveness. Practical implications stakeholders embrace effectively, conceptual contributing advancements. Originality/value study’s contribution offering execution tactics navigate utilise technology, driving
Language: Английский
Citations
0