Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…Through Natural Language Processing (NLP), the raw data is pre-processed and key features are extracted before they are fused into a unified dataset using a cross-domain transformer, namely CDSFT, and then Circle-Inspired Optimization Algorithm (CIOA) selects the most important features from this dataset. …”
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Cryptocurrency forensics automation: a deep learning and NLP-based approach for mobile platforms by Abhishek Bhattarai, Abdulhadi Sahin, Maryna Veksler, Ahmet Kurt, Devrim Aras, Carlos Imery, Kemal Akkaya

“…Therefore, in this paper, we present a comprehensive framework that incorporates various machine learning (ML), image processing, and natural language processing (NLP) approaches to enable fast and automated extraction/triage of crypto-related artifacts from Android and iOS devices. …”
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Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes by Ashok Kumar Sah, Rabab H. Elshaikh, Manar G. Shalabi, Anass M. Abbas, Pranav Kumar Prabhakar, Asaad M. A. Babker, Ranjay Kumar Choudhary, Vikash Gaur, Ajab Singh Choudhary, Shagun Agarwal

“…Additionally, AI-powered diagnostic tools, including deep learning imaging and natural language processing, improve screening accuracy, particularly in resource-limited settings. …”
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Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models by Safdar Ali Soomro, Siti Sophiayati Yuhaniz, Mazhar Ali Dootio, Ghulam Mujtaba, Jawaid Ahmed Siddiqui

“…Despite significant progress in natural language processing (NLP), low-resource languages, particularly Sindhi, remain underexplored due to the lack of computational tools and annotated datasets. …”
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Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database. by Anoop D Shah, Anuradhaa Subramanian, Jadene Lewis, Samir Dhalla, Elizabeth Ford, Shamil Haroon, Valerie Kuan, Krishnarajah Nirantharakumar

“…We extracted information about 89 symptoms and 'Long Covid' diagnoses from free text using natural language processing. We calculated hazard ratios (adjusted for age, sex, baseline medical conditions and prior symptoms) for each symptom from 12 weeks after the COVID-19 diagnosis.…”
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Confidence-Based Knowledge Distillation to Reduce Training Costs and Carbon Footprint for Low-Resource Neural Machine Translation by Maria Zafar, Patrick J. Wall, Souhail Bakkali, Rejwanul Haque

“…Distilling knowledge from large deep NN models (teachers) to smaller NN models (students) is a widely adopted sustainable development approach in MT as well as in broader areas of natural language processing (NLP), including speech, and image processing. …”
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Advanced montane bird monitoring using self-supervised learning and transformer on passive acoustic data by Yu-Cheng Wei, Wei-Lun Chen, Mao-Ning Tuanmu, Sheng-Shan Lu, Ming-Tang Shiao

“…While self-supervised learning has recently excelled in natural language processing and image recognition, its application to bird sound recognition remains limited. …”
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Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach by Maryam Abbasalizadeh, Sashank Narain

“…Large Language Models (LLMs) have transformed natural language processing, enabling applications such as conversational agents and machine translation. …”
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COMMUNICATIVE TYPE “MUNICIPAL EMPLOYEE” IN THE MEDIA SPACE: DEVELOPMENT OF AN AUTOMATIC INFORMATION AND ANALYTICAL ASSESSMENT SYSTEM by Irina S. Karabulatova, Konstantin V. Vorontsov, Daniil A. Okolyshev, Ludan Zhang

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On Realization of Intelligent Decision Making in the Real World: A Foundation Decision Model Perspective by Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang

“…Recent studies have extensively investigated the Transformer neural architecture as a foundational model for various tasks, including computer vision, natural language processing, and reinforcement learning. We propose that a Foundation Decision Model (FDM) can be developed by formulating diverse decision-making tasks as sequence decoding tasks using the Transformer architecture, offering a promising solution for expanding IDM applications in complex real-world situations. …”
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Arsitektur Sistem Percakapan Otomatis Berbahasa Indonesia dengan Normalisasi Bahasa Informal Menjadi Baku by Muhammad Fathur Rahman Khairul, Rizal Setya Perdana

“…This is an issue from a natural language processing (NLP) perspective. NLP generally only works with formal language and is unable to interpret the meaning of informal sentences. …”
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Accelerated Transfer Learning for Cooperative Transportation Formation Change via SDPA-MAPPO (Scaled Dot Product Attention-Multi-Agent Proximal Policy Optimization) by Almira Budiyanto, Keisuke Azetsu, Nobutomo Matsunaga

“…Nowadays, Scaled Dot Product Attention (SDPA) has attracted attention and is highly impactful for its speed and accuracy in natural language processing. When transfer learning is combined with fast computation, the efficiency of edge-level re-learning is improved. …”
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UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

“…This study sought to create a model that not only achieves a high classification accuracy but also overcome key challenges inherent in natural language processing, namely, high dimensionality, sparsity, overfitting, OOV words and dialectal variations. …”
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Analyzing the function of metaverse technology in the retention and absorption of knowledge using the integrated approach of interpretive structural modeling and structural equatio... by Seyed Mojtaba Hosseinibamakan, Hajar Soleymanizadeh, Mehran Ziaeian

“…The results of this research showed that metaverse technology through capabilities such as environmental artificial intelligence, simulation, natural language processing, use of social networks, data analysis, knowledge organization, cooperation, knowledge sharing. …”
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Crystal Composition Transformer: Self‐Learning Neural Language Model for Generative and Tinkering Design of Materials by Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Rongzhi Dong, Nihang Fu, Edirisuriya M. D. Siriwardane, Fanglin Chen, Jianjun Hu

“…Abstract Self‐supervised neural language models have recently achieved unprecedented success from natural language processing to learning the languages of biological sequences and organic molecules. …”
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Foresight to 2035 in cold climate fruit trees: scenario alignment, Delphi method, and complement with Python libraries by Jhon Wilder Zartha-Sossa, Nolberto Gutiérrez Posada, Adriana María Zuluaga Monsalve, Liliana Valencia Grisales, Jhoan Sebastián Rodríguez Torres, Gina Lía Orozco Mendoza, Nelson Javier Escobar Mora, Juan Carlos Palacio Piedrahita, John Fredy Moreno Sarta, Julio González Candia

“…Artificial intelligence and Python-based natural language processing validated the results, ensuring analytical rigor. …”
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Academic case reports lack diversity: Assessing the presence and diversity of sociodemographic and behavioral factors related to Post COVID-19 Condition. by Juan Andres Medina Florez, Shaina Raza, Rashida Lynn Ansell, Zahra Shakeri, Brendan T Smith, Elham Dolatabadi

“…This study aims to develop a comprehensive framework for integrating social determinants of health (SDOH) into PCC research by leveraging natural language processing (NLP) techniques to analyze disparities and variations in SDOH representation within PCC case reports. …”
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Arch-Eval benchmark for assessing chinese architectural domain knowledge in large language models by Jie Wu, Mincheng Jiang, Juntian Fan, Shimin Li, Hongtao Xu, Ye Zhao

“…Abstract The burgeoning application of Large Language Models (LLMs) in Natural Language Processing (NLP) has prompted scrutiny of their domain-specific knowledge processing, especially in the construction industry. …”
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Enhancing aspect-based financial sentiment analysis through contrastive learning by В’ячеслав Іваненко

“…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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Entertainment Chatbot for the Digital Inclusion of Elderly People Without Abstraction Capabilities by Silvia Garcia-Mendez, Francisco De Arriba-Perez, Francisco J. Gonzalez-Castano, Jose A. Regueiro-Janeiro, Felipe Gil-Castineira

“…Current language processing technologies allow the creation of conversational chatbot platforms. …”
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