Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

“…Combined with dynamic knowledge graph and NLP (Natural Language Processing) inference, it achieves good diagnostic results.…”
Get full text

Hoe hot is .brussels? Analyse van de introductie van de top level domeinnaam .brussels by Margot Waty, Seth van Hooland, Simon Hengchen, Mathias Coeckelbergs, Max De Wilde, Jean-Michel Decroly

“…By making use of freely available software tools such as OpenRefine and Natural Language Processing (NLP) methods, the entire corpus of the .brussels domain names (6 300) was analysed from a quantitative perspective. …”
Get full text

CORHOH: Text corpus of holocaust oral historiesMendeley Data by Daban Q. Jaff

“…., migration trends) and supports natural language processing techniques, such as topic modelling, sentiment analysis, and named entity recognition. …”
Get full text

An overview of the activation functions used in deep learning algorithms by Mete Çelik, Kemal Adem, Serhat Kılıçarslan

“…Deep learning models are of particular importance in analyzing big data with numerous parameters and forecasting and are useful for image processing, natural language processing, object recognition, and financial forecasting. …”
Get full text

When syntactic errors go unnoticed: an fMRI study of the effect of semantics on syntax by Sharlene D. Newman, Ben Pruce, Thomas Burns, Jr., Toshikazu Ikuta

“…While previous work has demonstrated thatsemantics information such as plausibility and world knowledgedoes not have a significant impact on comprehension, it doesaffect anomaly detection. one theory of language processing thatfit the results is “good enough” theory which suggests that we failto generate a complete representation of the input, particularlywhen the input describes plausible and/or familiar events. …”
Get full text

Applying Artificial Intelligence to Analyze Emotions in Social Media Comments using Large Language Models by Sarah Astiti, Iswandi Iswandi, Tomy Nanda Putra, Darmansah Darmansah

“…The methodology involves collecting comment data from Twitter, Facebook, and YouTube, followed by text preprocessing using Natural Language Processing (NLP) techniques. LLMs such as GPT and BERT are evaluated for their ability to detect primary emotions including happiness, sadness, anger, and fear. …”
Get full text

Interhemispheric interactions in visual word recognition: the role of multiple meanings by Sangyub Kim, Kichun Nam

“…The implications of these findings are discussed in relation to theoretical models of visual word recognition and hemispheric differences in language processing.…”
Get full text

A Systematic Review on the Association Between Bilingualism and Theory of Mind in Adulthood by Rowena J. Xia, Brian W. Haas

“…More studies are required to better understand the relationship between multiple language processing and social cognition among adults to better understand this gap in the literature.…”
Get full text

Neural topic modeling reveals German television’s climate change coverage by Tatjana Schirmag, Jakob H. Wedemeyer, Annika Stechemesser, Leonie Wenz

“…Here, we present an algorithm based on natural language processing techniques for identifying climate change coverage from subtitles of the leading German television news program, Tagesschau. …”
Get full text

A Green AI Methodology Based on Persistent Homology for Compressing BERT by Luis Balderas, Miguel Lastra, José M. Benítez

“…Large Language Models (LLMs) like BERT have gained significant prominence due to their remarkable performance in various natural language processing tasks. However, they come with substantial computational and memory costs. …”
Get full text

Using Online Reviews to Drive Person-Centered Care: An HCAHPS-Validated Approach by Joseph G Taylor PhD, Meghan P Leaver PhD, Alex Griffiths PhD

“…This study also shows that unstructured online data can be quantified using machine learning and natural language processing to automatically flag and rate patient reviews. …”
Get full text

Nanophotonic device design based on large language models: multilayer and metasurface examples by Kim Myungjoon, Park Hyeonjin, Shin Jonghwa

“…Large language models (LLMs) have gained significant prominence in language processing, demonstrating remarkable performance across a wide range of tasks. …”
Get full text

English Pronunciation Evaluation and Correction Algorithm Technology Based on Artificial Intelligence by Sian Chen, Linqiang Tang

“…This article aims to develop a new evaluation and correction method based on speech recognition, speech synthesis, machine learning and natural language processing. The system can objectively evaluate the students’ pronunciation, give them immediate feedback, and correct their mistakes individually. …”
Get full text

Chinese Story Generation Based on Style Control of Transformer Model and Content Evaluation Method by Jhe-Wei Lin, Tang-Wei Su, Che-Cheng Chang

“…Natural language processing (NLP) has numerous applications and has been extensively developed in deep learning. …”
Get full text

Large Language Models in Healthcare and Medical Applications: A Review by Subhankar Maity, Manob Jyoti Saikia

“…This paper provides a systematic and in-depth examination of large language models (LLMs) in the healthcare domain, addressing their significant potential to transform medical practice through advanced natural language processing capabilities. Current implementations demonstrate LLMs’ promising applications across clinical decision support, medical education, diagnostics, and patient care, while highlighting critical challenges in privacy, ethical deployment, and factual accuracy that require resolution for responsible integration into healthcare systems. …”
Get full text

The rise and fall of K-Fashion business: exploring the impact of corporate failure news on stock market indices by Hyojung Kim

“…Integrating both natural language processing and structured data in this study offers practical insights to fashion firms and stock market investors.…”
Get full text

Deep neural networks and humans both benefit from compositional language structure by Lukas Galke, Yoav Ram, Limor Raviv

“…Abstract Deep neural networks drive the success of natural language processing. A fundamental property of language is its compositional structure, allowing humans to systematically produce forms for new meanings. …”
Get full text

Using semantic indexing and thesauri in processing dermoscopic images by Г. А. Гулмирзаева

“…The proposed approach integrates advanced natural language processing (NLP) techniques with medical thesauri and ontologies to enhance the efficiency of medical data analysis and structuring. …”
Get full text

A Novel Comprehensive Framework for Detecting and Understanding Health-Related Misinformation by Halyna Padalko, Vasyl Chomko, Sergiy Yakovlev, Dmytro Chumachenko

“…This study introduces a comprehensive framework for detecting and analyzing misinformation using advanced natural language processing techniques. The proposed classification model combines BERT embeddings with Bi-LSTM architecture and attention mechanisms, achieving high performance, including 99.47% accuracy and an F1-score of 0.9947. …”
Get full text

Social Media Analytics for Disaster Response: Classification and Geospatial Visualization Framework by Chao He, Da Hu

“…We present an AI-powered framework that combines natural language processing with geospatial visualization to analyze disaster-related social media content. …”
Get full text