Scientometric analysis of emerging trends and research landscape of ERNIE Bot's potentials as an educational tool: A mixed method study of a large language model by Yang Yan, Bosede Iyiade Edwards, Mageswaran Sanmugam

“…ERNIE Bot's strengths in Chinese language processing and innovations are also highlighted regarding power relations and knowledge hierarchies. …”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researchers developed various approaches to solve the automatic hate speech detection problem using different corpora in various languages, however, research on the Urdu language is rather scarce. …”
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Dataset collection for automatic generation of commit messages by Ivan A. Kosyanenko, Roman G. Bolbakov

“…In this study, a comprehensive approach was used, including data collection from popular GitHub repositories, preliminary data processing and filtering, as well as statistical analysis and natural language processing method (text vectorization). Cosine similarity was used as a means of assessing the semantic proximity between the first sentence and the full text of commit messages.Results. …”
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New Technologies in Electronic Pharmacovigilance Systems for Marketing Authorisation Holders by O. A. Loginovskaya, V. P. Kolbatov, R. V. Sukhov, M. S. Ryavkina, A. S. Kolbin

“…Artificial intelligence technologies (a wide range of technologies including machine learning, neural networks, and automatic natural language processing) are used to collect safety reports, amongst other things, through real-world clinical data analysis; prepare summary reports; and manage risks and safety signals. …”
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Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study by Anisha Musti

“…MethodsMwana was developed using TextIt for SMS integration and Meta’s Wit.ai for natural language processing (NLP). The chatbot provides breastfeeding support via SMS, offering personalized tips, addressing common challenges, and connecting users to human agents when necessary. …”
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Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study by Danqing Hu, Shanyuan Zhang, Qing Liu, Xiaofeng Zhu, Bing Liu

“… BackgroundLarge language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various natural language processing tasks, particularly in text generation. …”
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AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration by Tiffany I Leung, Andrew J Coristine, Arriel Benis

“…This potentially transformative development has a foundation on longer-standing, AI-based transcription software, which uses automated speech recognition and/or natural language processing. Recent studies have highlighted the potential impact of ambient AI scribes on clinician well-being, workflow efficiency, documentation quality, user experience, and patient interaction. …”
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Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

“… The subject matter of this article revolves around the exploration of neural network architectures to enhance the accuracy of text classification, particularly within the realm of natural language processing. The significance of text classification has grown notably in recent years due to its pivotal role in various applications like sentiment analysis, content filtering, and information categorization. …”
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Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs by Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia

“…Abstract The automated processing of Electronic Health Records (EHRs) poses a significant challenge due to their unstructured nature, rich in valuable, yet disorganized information. Natural Language Processing (NLP), particularly Named Entity Recognition (NER), has been instrumental in extracting structured information from EHR data. …”
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NAIA: A Multi-Technology Virtual Assistant for Boosting Academic Environments—A Case Study by Adrian Pabon Mendoza, Kenneth J. Barrios Quiroga, Samuel D. Solano Celis, Christian M. Quintero

“…Through natural language processing and voice interaction, NAIA aims to improve productivity and efficiency within the university environment while providing personalized assistance through a ubiquitous platform accessible across multiple devices. …”
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Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study by Samaneh Omranian, Lu He, AkkeNeel Talsma, Arielle A J Scoglio, Susan McRoy, Janet W Rich-Edwards

“…We aim to leverage natural language processing techniques to automatically identify theoretically grounded burnout symptoms from comments authored by nurses in a large-scale, national survey and assess their associations with vaccine hesitancy and health beliefs. …”
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IndoGovBERT: A Domain-Specific Language Model for Processing Indonesian Government SDG Documents by Agus Riyadi, Mate Kovacs, Uwe Serdült, Victor Kryssanov

“…Artificial Intelligence and Natural Language Processing (NLP) could, thus, offer valuable support for progressing towards SDG targets, including automating the government budget tagging and classifying NSA requests and initiatives, as well as helping uncover the possibilities for matching these two categories of activities. …”
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Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences by Julia Walsh, Jonathan Cave, Frances Griffiths

“…ObjectiveThe study aims to (1) investigate how combining unsupervised natural language processing (NLP) and corpus linguistics can explore patient perspectives from a large unstructured dataset of modafinil experiences, (2) compare findings with Cochrane meta-analyses on modafinil’s effectiveness, and (3) develop a methodology for analyzing such data. …”
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Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute by Junpeng Ren, Jinwen Luo, Yingshi Huang, Vivek Shetty, Minjeong Jeon

“…The dual contribution bridges methodological innovation in natural language processing with practical insights for cultivating next-generation mHealth scholarship.…”
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MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5 by Siginamsetty Phani, Ashu Abdul, M. Krishna Siva Prasad, V. Dinesh Reddy

“…User query-based summarization is a challenging research area of natural language processing. However, the existing approaches struggle to effectively manage the intricate long-distance semantic relationships between user queries and input documents. …”
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Identifying Yalom’s group therapeutic factors in anonymous mental health discussions on Reddit: a mixed-methods analysis using large language models, topic modeling and human super... by Drin Ferizaj, Christopher Lalk, Nils Lahmann, Nils Lahmann, Sandra Strube-Lahmann, Sandra Strube-Lahmann, Julian Rubel

“…Using a mixed-methods approach, we integrate advanced Natural Language Processing (NLP) techniques—including Large Language Models (GPT-3.5 Turbo 16k), cosine similarity, and BERTopic—with human validation to analyze 6,745 comments from mental health–focused Subreddits.ResultsThe results show that a large portion of the data can be interpreted through Yalom's therapeutic factors, such as Instillation of Hope, Group Cohesion, and Altruism, suggesting a generally supportive and empathetic online environment. …”
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Enhancing ECG Report Generation With Domain-Specific Tokenization for Improved Medical NLP Accuracy by Farzeen Ashfaq, NZ Jhanjhi, Navid Ali Khan, Danish Javed, Mehedi Masud, Mohammad Shorfuzzaman

“…The automation of medical report generation has been an area of interest for researchers over the years, with significant advancements in computational techniques and natural language processing. Traditionally, the focus has remained on rule-based or template-driven approaches to streamline the documentation process. …”
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Unlocking financial innovation through strategic investments in information management: a systematic review by Askar Garad, Hosam Alden Riyadh, Abdullah M. Al-Ansi, Baligh Ali Hasan Beshr

“…LLMs enhance natural language processing capabilities, RPA automates repetitive tasks, IoT facilitates real-time monitoring, Cybersecurity Technologies protect financial data, and Quantum Computing offers potential breakthroughs in financial modeling and encryption. …”
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Cerebellar transcranial direct current stimulation improves quality of life in individuals with chronic poststroke aphasia by Zhong Sheng Zheng, Jing Wang, Sharon Lee, Kevin Xing-Long Wang, Ben Zhang, Melissa Howard, Emily Rosario, Caroline Schnakers

“…Abstract The cerebellum has emerged as a potential target for transcranial direct current stimulation (tDCS) in post-stroke aphasia (PSA) due to its role in language processing and relative preservation compared to supratentorial lesions. …”
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Enhancing aspect-based financial sentiment analysis through contrastive learning by Viacheslav Ivanenko

“…Additionally, the study aims to assess the efficacy of recent advancements in Natural Language Processing (NLP) and machine learning for enhancing ABFSA models. …”
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