AI-powered analysis of ESG disclosure: a clustering approach to determinants and motivations by Ouissal El Aziz, Abdelkarim Asdiou

“…The selected articles were processed using an approach integrating artificial intelligence tools, in particular natural language processing (NLP) to ensure thematic and semantic analysis of the data, followed by clustering analysis based on TF-IDF vectorization to analyze the identified determinants. …”
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Artificial Intelligence in Knowledge Management: Overview and Selection of Software for Automotive Reporting by Bernhard Axmann, Sanket Pujar

“…Artificial Intelligence tools, using natural language processing and machine learning, streamline data extraction. - Despite their benefits, organizations face challenges in selecting the right Artificial Intelligence-driven Knowledge Management software due to a lack of standardized evaluation frameworks. …”
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Ai And Creative Research In Algerian Universities: Faculty Perspectives On Integration by Meryem Kehal

“…Notably, machine learning algorithms and natural language processing were identified as particularly beneficial. …”
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Forecast Model of TV Show Rating Based on Convolutional Neural Network by Lingfeng Wang

“…At present, convolutional neural networks have become a research hotspot in speech recognition, image recognition and classification, natural language processing, and other fields and have been widely and successfully applied in these fields. …”
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Artificial intelligence in occupational health practice by Francesco Chirico, Nicola Magnavita

“…In this viewpoint, the authors explore AI's role in managing health data through natural language processing, aiding physicians in clinical documentation and patient communication. …”
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Using BERT and ZFNet/ELM optimized by improved Orca optimization algorithm for sentiment analysis by Jun Yang, Jafar Safarzadeh

“…This method is a key aspect of Natural Language Processing (NLP) that focuses on extraction of patterns and significant features from big volumes of text. …”
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Rasch-based comparison of items created with and without generative AI by Karla Karina Ruiz Mendoza, Luis Horacio Pedroza Zúñiga

“…This study explores the evolving interaction between Generative Artificial Intelligence (AI) and education, focusing on how technologies such as Natural Language Processing and specific models like OpenAI’s ChatGPT can be used on high-stakes examinations. …”
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Multi-granularity sentiment analysis and learning outcome prediction for Chinese educational texts based on transformer architecture by Xinyue Gao, Quanrong Fang

“…In computer science, natural language processing (NLP) techniques offer promising solutions for sentiment analysis and academic performance prediction. …”
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BIM log mining framework using deep learning for productivity assessment in construction facilities by Ali Akbar, Younghee Chang, Jinwoo Song, Seojoon Lee, Sanghyeon Park, Jinhyun Bae, Soonwook Kwon

“…The framework incorporates an integrated interface with visualization and natural language processing for enhanced insight generation and accessibility. …”
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Unveiling the Power of Large Language Models: A Comparative Study of Retrieval-Augmented Generation, Fine-Tuning, and Their Synergistic Fusion for Enhanced Performance by Gulsum Budakoglu, Hakan Emekci

“…Large-language model optimization for a particular application is crucial and challenging in natural language processing. This study compares two salient techniques for retrieve-augmented generation (RAG) and fine-tuning along with a new hybrid method that combines both. …”
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Social Media and Logistics: Uncovering Challenges and Solutions Through YouTube Data by Hisatoshi Naganawa, Enna Hirata

“…<i>Methods</i>: This study collects YouTube data containing keywords related to logistics issues—particularly the 2024 problem—and applies natural language processing (NLP) techniques to explore potential solutions. …”
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Comparisons between processing linguistic and mathematical negations from the perspective of the practice effect and working memory by Hikari Kinjo, Toshiki Saito

“…Furthermore, high correlations between performance in the tasks and both verbal and spatial working memory tasks suggest that verification judgments may involve not only language processing but also more general cognitive processing.…”
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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

“…This systematic study seeks to evaluate the use and impact of transformer models in the healthcare domain, with a particular emphasis on their usefulness in tackling key medical difficulties and performing critical natural language processing (NLP) functions. The research questions focus on how these models can improve clinical decision-making through information extraction and predictive analytics. …”
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BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers. by Tanzir Hossain, Ar-Rafi Islam, Md Humaion Kabir Mehedi, Annajiat Alim Rasel, M Abdullah-Al-Wadud, Jia Uddin

“…This research contributes significantly to the field of Bangla natural language processing and demonstrates the efficacy of ensemble methods and deep learning in news classification for low-resource languages.…”
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Exploring AI Ethics Syllabi Through NLP Cluster Analysis by Kerrie Hooper, Stephanie Lunn

“…To assess the content in academia, a Natural Language Processing (NLP) analysis of AI ethics syllabi at the university level was conducted. …”
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Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives by Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, Hina Naz, Atifa Waheed, Feruza Ravshanovna Zokirova, Humera Khan

“…This paper examines some of the recent advances of AI for CAR-based therapies, for example, using deep learning (DL) to design CARs that target multiple antigens and avoid antigen escape; using natural language processing to extract relevant information from clinical reports and literature; using computer vision to analyze the morphology and phenotype of CAR cells; using reinforcement learning to optimize the dose and schedule of CAR infusion; and using AI to predict the efficacy and toxicity of CAR-based therapies. …”
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Utilizing large language models for semantic enrichment of infrastructure condition data: a comparative study of GPT and Llama models by Lea Höltgen, Sven Zentgraf, Philipp Hagedorn, Markus König

“…LLMs, with their advanced natural language processing capabilities, offer a promising solution by automating the conversion process, reducing the reliance on expert knowledge, and semantically enriching data through appropriate ontologies. …”
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Fake and Real Tweet Classification Using a Pre-Trained GPT-3 Approach by Delveen Luqman Abd Alnabi

“…In response to this challenge, the field of Natural Language Processing (NLP) and Machine Learning (ML), coupled with Deep Learning (DL) techniques, has arisen to identify and flag fabricated news. …”
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Exploring Cutout and Mixup for Robust Human Activity Recognition on Sensor and Skeleton Data by Hiskias Dingeto, Juntae Kim

“…These methods were first widely used in Computer Vision and Natural Language Processing. We use both augmentation techniques, customized for time-series and skeletal data, to improve the robustness and performance of HAR models by diversifying the data and overcoming the drawbacks of having limited training data. …”
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IMAGINEA CHINEI ÎN MASS MEDIA DIN ROMÂNIA by QINGTAO, LIU, YANLI, LU

“…This study examines the portrayal of China in Romanian mainstream media from 2013 to 2023, utilizing big data natural language processing methods for sentiment analysis. The research aims to understand the emotional tendencies of Romanian media coverage of China across various domains such as economy, politics, culture, and diplomacy. …”
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