Discussion of the ability to use chatGPT to answer questions related to esophageal cancer of patient concern by Fengxia Yu, Mingyu Lei, Shiyu Wang, Miao Liu, Xiao Fu, Yuan Yu

“…Background: Chat Generation Pre-Trained Converter (ChatGPT) is a language processing model based on artificial intelligence (AI). …”
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Large language model-based information extraction from free-text radiology reports: a scoping review protocol by Daniel Reichenpfader, Henning Müller, Kerstin Denecke

“…However, this data might be made available by means of information extraction (IE), based on natural language processing (NLP). Recently, a new approach to NLP, large language models (LLMs), has gained momentum and continues to improve performance of IE-related tasks. …”
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Hate Speech Detection Using Large Language Models: A Comprehensive Review by Aish Albladi, Minarul Islam, Amit Das, Maryam Bigonah, Zheng Zhang, Fatemeh Jamshidi, Mostafa Rahgouy, Nilanjana Raychawdhary, Daniela Marghitu, Cheryl Seals

“…We analyze the evolution of LLMs in natural language processing and examine their strengths and limitations in identifying hate speech. …”
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Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach by Francesco Invernici, Francesca Curati, Jelena Jakimov, Amirhossein Samavi, Anna Bernasconi

“…The Sustainable Development Goals (SDGs) were formulated by the United Nations in 2015 to address these global challenges by 2030. Natural language processing techniques can help uncover discussions on SDGs within research literature. …”
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Exploring the Impact of Digital Peer Support Services on Meeting Unmet Needs Within an Employee Assistance Program: Retrospective Cohort Study by Harpreet Nagra, Robert A Mines, Zara Dana

“…MethodsThe study analyzed EAP utilization within a 5-session model using pre-post analysis, sentiment changes during DPS chats via natural language processing models, and SROI outcomes. …”
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Evaluating sentiment analysis models: A comparative analysis of vaccination tweets during the COVID-19 phase leveraging DistilBERT for enhanced insights by Renuka Agrawal, Mehuli Majumder, Ishita Yadav, Nandini Taneja, Safa Hamdare, Preeti Hemnani

“…This study investigates public sentiment toward COVID-19 vaccinations by analyzing Twitter data using advanced machine learning (ML) and natural language processing (NLP) techniques. Recognizing social media as a valuable source for gauging public opinion during health crises, the research aims to inform policies on content moderation and misinformation control. • Comparative Analysis of Embedding Techniques and ML Models: The study evaluates two embedding techniques—TF-IDF and Word2Vec—across five ML models: LinearSVC, Random Forest, Gradient Boosting Machine (GBM), XGBoost, and AdaBoost. • The models were tested using two training-testing splits (70–30 and 80–20) to assess their performance on noisy, unlabeled, and imbalanced sentiment data. • Utilization of DistilBERT for Pseudo-Labeling: To enhance labeling accuracy, DistilBERT was employed for pseudo-labeling, capturing semantic nuances often missed by traditional ML techniques. …”
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Is sharing just a function of viewing? The sharing of political and non-political news on Facebook by Damian Trilling, Juhi Kulshrestha, Claes de Vreese, Denis Halagiera, Jakub Jakubowski, Judith Möller, Cornelius Puschmann, Agnieszka Stępińska, Sebastian Stier, Cristian Vaccari

“…We enrich the dataset with natural language processing and super- vised machine learning. We find that political news items are viewed less than non-political news items, but are shared more than one would expect based on their views. …”
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AsanteTwiSenti: A Sentiment dataset of Ghanaian Asante Twi Tweets in a multilingual contextgithub repository. by Mavis Sarah Gyimah, James Benjamin Hayfron -Acquah, Rose-Mary Mensah Gyening, Michael Asante, Umar Farouk Ibn Abdulrahman, Evans Kotei

“…The AsanteTwiSenti corpus seeks to bridge the low-resource gap of the Twi Language, inspire the development of local Ghanaian language resources, and impact academic research of Asante Twi for Natural Language Processing(NLP), language preservation, and education.…”
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The Moral Foundations of Populist Communication: A Semantic Network Analysis of Political Parties’ Social Media Discourse in a Multiparty System by Anna Wickenkamp, Frederic R. Hopp, Michael Hameleers, Linda Bos

“…Using Moral Foundations Theory, natural language processing, and a computational semantic network approach, we analyzed 11,205 social media posts from Dutch political parties and leaders during the 2023 Dutch election campaign across X, Facebook, and Instagram. …”
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MPTTF-BERT: Multi-Prefix-Tuning Template Fusion by BERT for Zero-shot English Text Relation Extraction Model by Fangqi Song

“…Meanwhile, Prefix-tuning is widely used in zero-shot natural language processing tasks, but the existing zeroshot relationship extraction model based on Prefix-tuning is difficult to construct answer space mapping and depends on manual template selection, which cannot achieve good results. …”
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Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems by Dmitrii Popov, Egor Terentev, Danil Serenko, Ilya Sochenkov, Igor Buyanov

“…The presence of such a dataset is beneficial for the natural language processing methods of trend analysis in science since the terms and definitions are the basic blocks of any scientific field. …”
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Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis by Zhang Weimin, Zhou Luyao, Shao Min, Wang Cui, Wang Yu

“…Therefore, to address the aforementioned issues, this study proposes a novel textual representation method for clinical numerical data, leveraging pre-trained language models from the field of natural language processing for sepsis prediction. Specifically, this study innovatively transforms structured clinical numerical data of patients into unstructured textual descriptions. …”
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AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis by Bhekisipho Twala

“…Additionally, we developed and tested a hybrid machine learning model combining deep learning, computer vision, and natural language processing techniques for PD assessment using motor symptom analysis, voice pattern recognition, and gait analysis.ResultsThe systematic review identified 127 relevant studies demonstrating significant advances in AI-driven PD diagnosis, with accuracy rates ranging from 78 to 96%. …”
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Intelligent ESG Evaluation for Construction Enterprises in China: An LLM-Based Model by Binqing Cai, Zhukai Ye, Shiwei Chen

“…The model integrates three modules: (1) an ESG report information extraction module utilizing natural language processing and Chinese pre-trained language models to identify and classify ESG-relevant statements; (2) an ESG rating prediction module employing XGBoost regression with SHAP analysis to predict company ratings and quantify individual statement contributions; and (3) an ESG intelligent evaluation module combining knowledge graph construction with fine-tuned Qwen2.5 language models using Chain-of-Thought (CoT). …”
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Leveraging RAG and LLMs for Access Control Policy Extraction From User Stories in Agile Software Development by Sara Aboukadri, Aafaf Ouaddah, Abdellatif Mezrioui, Ikram El Asri

“…By integrating advanced natural language processing techniques with retrieval-based augmentation, the framework aims to reinforce access control mechanisms by improving visibility, and providing contextualized insights for security analysts.…”
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The Utility of ChatGPT in Educational Research—Potential Opportunities and Pitfalls by Turgut Karakose

“…Background/purpose –Leveraging the latest developments in natural language processing, recent versions of ChatGPT has demonstrated astounding performance on a wide array of tasks through its ability to understand and generate human language, and respond to diverse conversational prompts. …”
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An automated approach to identify sarcasm in low-resource language. by Shumaila Khan, Iqbal Qasim, Wahab Khan, Aurangzeb Khan, Javed Ali Khan, Ayman Qahmash, Yazeed Yasin Ghadi

“…Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. …”
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A lexicon-based diachronic comparison of emotions and sentiments in literary translation: A case study of five Chinese versions of David Copperfield. by Yan Li, Muhammad Afzaal, Yixin Yin

“…To this end, the present study made use of Lexicon-based Sentiment Analysis (LBSA), a common natural language processing (NLP) approach, to study people's attitudes, opinions or emotions towards a certain person or thing. …”
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MPSE identifies newborns for whole genome sequencing within 48 h of NICU admission by Bennet Peterson, Edwin F. Juarez, Barry Moore, Edgar Javier Hernandez, Erwin Frise, Jianrong Li, Yves Lussier, Martin Tristani-Firouzi, Martin G. Reese, Sabrina Malone Jenkins, Stephen F. Kingsmore, Matthew N. Bainbridge, Mark Yandell

“…Using clinical data from 2885 NICU patients, we evaluated the utility of different machine learning (ML) classifiers, clinical natural language processing (CNLP) tools, and types of Electronic Health Record (EHR) data to identify sick newborns with genetic diseases. …”
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EmoSDS: Unified Emotionally Adaptive Spoken Dialogue System Using Self-Supervised Speech Representations by Jaehwan Lee, Youngjun Sim, Jinyou Kim, Young-Joo Suh

“…In recent years, advancements in artificial intelligence, speech, and natural language processing technology have enhanced spoken dialogue systems (SDSs), enabling natural, voice-based human–computer interaction. …”
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