Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects by Awal Ahmed Fime, Saifuddin Mahmud, Arpita Das, Md. Sunzidul Islam, Jong-Hoon Kim

“…This survey provides a comprehensive review of the current state-of-the-arts in automatic scene generation, focusing on techniques that leverage machine learning, deep learning, embedded systems, and natural language processing (NLP). We categorize the models into four main types: Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Transformers, and Diffusion Models. …”
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Large Language Model-based R&D Solution Analysis Approach Using Problem-Solution Information of Patents by Seunghyun Lee, Jiho Lee, Seoin Park, Jae-Min Lee, Hong-Woo Chun, Janghyeok Yoon

“…LLMs, which are effective for natural language processing tasks, such as text summarization and generation, have been applied in numerous fields, including healthcare, finance, and law. …”
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Psychomedical named entity recognition method based on multi-level feature extraction and multi-granularity embedding fusion by Zixuan Liu, Guofang Zhang, Yanguang Shen

“…Abstract Named Entity Recognition (NER) in psychomedicine is one of the key tasks in natural language processing in psychomedicine. It aims to identify and classify specialized terms in psychomedical texts and provide powerful support for downstream tasks. …”
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Transformer-based prototype network for Chinese nested named entity recognition by Ke Zhang, Jun Lu, Zhongliang Ai, Licai Wang, Zhonglin Liu, Pingli Gu, Xuelin Liu

“…Experiments using the ACE05, ChiNesE, and RENMIN datasets demonstrate that MSTPN outperforms state-of-the-art methods, highlighting the effectiveness of prototype networks in natural language processing tasks involving long sequences.…”
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Intelligent Learning Support System by Eugene Karashevych, Svitlana Sulima, Mariia Skulysh

“…A machine learning module has been implemented to automatically analyze student work (grading, checking for uniqueness). Natural language processing (NLP) was used to analyze student responses and create adaptive content. …”
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How digital therapeutic alliances influence the perceived helpfulness of online mental health Q&A: An explainable machine learning approach by Yinghui Huang, Hui Liu, Maomao Chi, Sujie Meng, Weijun Wang

“…Methods This study constructs a large dataset of 19,682 Q&A interactions from online mental health Q&A platforms, employs natural language processing, explainable machine learning, and causal inference methods to identify and understand the factors, particularly DTA, that influence the perceived helpfulness of human counselors’ responses to mental health questions. …”
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StegGPT: A Novel Foundation-Model-Based Character-Level Linguistic Steganography Method Utilizing Large Language Models by Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian

“…Using advanced techniques in Natural Language Processing (NLP), Artificial Intelligence (AI), and deep learning within the domain of information security, this study delves into the realm of steganography, revealing the restricted embedding capabilities of conventional language-centric approaches. …”
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Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine by Kuo Zhang, Xiangbin Meng, Xiangyu Yan, Jiaming Ji, Jingqian Liu, Hua Xu, Heng Zhang, Da Liu, Jingjia Wang, Xuliang Wang, Jun Gao, Yuan-geng-shuo Wang, Chunli Shao, Wenyao Wang, Jiarong Li, Ming-Qi Zheng, Yaodong Yang, Yi-Da Tang

“…These models excel in natural language processing (NLP), enhancing clinical support, diagnosis, treatment, and medical research. …”
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Effects of subliminal emotional facial expressions on language comprehension as revealed by event-related brain potentials by Miguel Rubianes, Laura Jiménez-Ortega, Francisco Muñoz, Linda Drijvers, Tatiana Almeida-Rivera, José Sánchez-García, Sabela Fondevila, Pilar Casado, Manuel Martín-Loeches

“…These findings constitute evidence in favor of an interactive view of language processing as integrated within a complex and integrated system for human communication.…”
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Nonparametric analysis of inter‐individual relations using an attention‐based neural network by Takashi Morita, Aru Toyoda, Seitaro Aisu, Akihisa Kaneko, Naoko Suda‐Hashimoto, Ikuma Adachi, Ikki Matsuda, Hiroki Koda

“…In this study, researchers explored a nonparametric analysis of inter‐individual relations using a neural network with the attention mechanism, which plays a central role in natural language processing. The high interpretability of the attention mechanism and flexibility of the entire neural network allow for automatic detection of inter‐individual relations included in the raw data, without requiring prior knowledge/assumptions about what modes/types of relations are included in the data. …”
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Digital transformation with clinical alerts and personalized care systems in an integrated value based model by Dinh Nguyen, Sinjin Lee, Ronil Synghal, Leon Chan, Ferdinand Justus, Mark Moromisato, Tianyuan Shao, Caleb Wang, Mason Kellogg, Brett Anwar, Julie Creech, Kari Ochoa, Danette Gigliotti, Omar Ortiz, Kien La, Khang Nguyen

“…It applies natural language processing to generate alerts for high-acuity cases, and it recommends suitable care offerings. …”
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Identifying non-traditional electronic datasets for population-level surveillance and prevention of cardiometabolic diseases: a scoping review protocol by Laura N Anderson, Jason D Morgenstern, Reid Rebinsky

“…The secondary objective is to describe the methods, such as machine learning and natural language processing, that have been applied to leverage these datasets.Methods and analysis We will conduct a scoping review following recommended methodology. …”
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University english teaching evaluation using artificial intelligence and data mining technology by Qiuyang Huang, Wenling Li, Mohd Mokhtar bin Muhamad, Nur Raihan binti Che Nawi, Xutao Liu

“…This work applies the Transformer architecture from natural language processing to the education domain, achieving interdisciplinary integration and innovation. …”
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A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts by Rajashree Dash, Spandan Udgata, Rupesh K. Mohapatra, Vishanka Dash, Ashrita Das

“…This study is based on natural language processing, where the prerequisites involve data collection from different social media sites and then pre-processing the collected data as per the requirements through stemming, lemmatization, stop word removal, etc. …”
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Extremist Ideology Classification in Kazakh: A Multi-Class Approach Using Machine Learning and Psycholinguistic Analysis by Shynar Mussiraliyeva, Milana Bolatbek, Kymbat Baisylbayeva

“…This paper presents a new approach for analyzing extremist content in the Kazakh language on social media using advanced machine learning and natural language processing techniques. With the rapid growth of online data, especially on social networks, there is an urgent need for tools that can identify and classify extremist ideologies. …”
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System Approach to the Combined Use of Large Language Models and Classical Models in Foresight Tasks by Володимир Савастьянов, Михайло Столяр

“…The study is structured into four segments, each addressing distinct parts: Data Mining, text pre-processing using LLMs, text pre-processing utilizing Natural Language Processing (NLP) methods, and comparative analysis of results. …”
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A Semantic Weight Adaptive Model Based on Visual Question Answering by Li Huimin, Li Xuan, Chen Yan

“…Visual Question Answering (VQA) is an advanced artificial intelligence task that combines computer vision and natural language processing technologies. Its core objective is to enable computers to accurately answer natural language questions posed by users about image content, with these questions being either open-ended or closed-ended. …”
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Ensemble Machine Learning Model for Classification of Spam Product Reviews by Muhammad Fayaz, Atif Khan, Javid Ur Rahman, Abdullah Alharbi, M. Irfan Uddin, Bader Alouffi

“…Detecting spam product reviews is a challenging issue in NLP (natural language processing). Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. …”
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Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models by Miralieva Dilafruz, Ramatov Jumaniyoz, Azimova Lola, Khusamiddinova Malika, Alimbaeva Shahlo, Omonova Laylo

“…The findings indicate that natural language processing efficiency and machine learning advancements have significant impacts on investment planning accuracy. …”
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Deciphering news sentiment and stock price relationships in Indonesian companies: an AI-based exploration of industry affiliation and news co-occurrence by Andry Alamsyah, Dian Puteri Ramadhani, Farida Titik Kristanti, Arbi Haza Nasution, Mohd Sham bin Mohamad, Rajalingam Sokkalingam, Sri Widiyanesti, Muhammad Apriandito Arya Saputra

“…We leverage AI-based sentiment analysis and natural language processing techniques, including identity recognition, network analysis, and correlation assessment, to explore how news sentiment affects stock prices at the levels of individuals, industries, and news co-occurrence clusters. …”
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