Systematic mapping study of tools to identify emotions and personality traits by Amanul Islam, Nurul Fazmidar Mohd Noor, Siti Soraya Abdul Rahman

“…The selected papers were analyzed, and the identified tools were categorized based on methodology, objectives, and application domains. Natural language processing techniques were used to capture emotions from textual data, whereas face recognition proved to be more accurate with deep learning models. …”
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Generative AI as a Disruptive Innovation: Implications for Marketing Strategic Transformations by Emad Abou Elgheit

“…The data was analyzed using the Natural Language Processing (NLP) and thematic analysis techniques. …”
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IDE Support of String-Embedded Languages by S. Grigorev, E. Verbitskaia, M. Polubelova, A. Ivanov, E. Mavchun

“…We present a platform which allows to easily create tools for string-embedded language processing.…”
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Evaluating large language models: a systematic review of efficiency, applications, and future directions by Yasmeen Saleh, Manar Abu Talib, Qassim Nasir, Fatima Dakalbab

“…Moreover, large language models can integrate into those fields through their abilities in natural language processing, text generation, question answering, and several other use cases that benefit human interactions and decision-making. …”
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Is musical ability related to second-language acquisition? A meta-analysis by Rachel M. Thompson, Lauren K. Salig, L. Robert Slevc

“…Given robust relationships between musical ability and native-language processing, musical ability might also contribute to successful second-language acquisition. …”
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Named Entity Recognition for Medical Records of Heart Failure Using a Pre-trained BERT Model by Mikael Triartama Manurung, I Gusti Ngurah Lanang Wijayakusuma, I Putu Winada Gautama

“…The methodology employs Natural Language Processing (NLP) techniques using Transformer-based architectures, such as Bidirectional Encoder Representation from Transformers (BERT). …”
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CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability by Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu

“…Abstract Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. However, it faces challenges in computational complexity and interpretability. …”
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Big Data Analytics in Library Services With AI: Personalized Content Recommendations and Catalog Optimization by Pinjia Hu, Yichi Zhang

“…Future work will explore hybrid models incorporating Natural Language Processing (NLP) to improve content understanding and further enhance recommendation quality.…”
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Context-dependent similarity searching for small molecular fragments by Atsushi Yoshimori, Jürgen Bajorath

“…As an alternative, we have adapted the concept of context-depending word pair similarity from natural language processing to evaluate similarity relationships between substituents (R-groups) taking latent characteristics into account. …”
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Application of Large Language Models in the AECO Industry: Core Technologies, Application Scenarios, and Research Challenges by Guozong Zhang, Chenyuan Lu, Qianmai Luo

“…Using a literature-based review methodology, this paper examines how LLMs—built on Transformer architecture and powered by deep learning and natural language processing—can process complex unstructured data and support a wide range of tasks, including contract analysis, construction scheduling, risk assessment, and operations and maintenance. …”
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AI designed, mutation resistant broad neutralizing antibodies against multiple SARS-CoV-2 strains by Yue Kang, Kevin Jin, Lurong Pan

“…Abstract In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata with multiple data types and processing strategies, including machine learning, natural language processing, protein structural modeling, and protein sequence language modeling. …”
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Progress in the integration of ChatGPT in Higher Education: an examination of applications, advantages, and challenges by Leopoldo Vinicio Venegas Loor, Paola v Moreira Aguayo, Alberto Rodríguez Rodríguez

“…Artificial intelligence (AI), especially natural language processing models such as ChatGPT, is transforming higher education. …”
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Semantic-guided attention and adaptive gating for document-level relation extraction by Xiaoyao Ding, Shaopeng Duan, Zheng Zhang

“…Abstract In natural language processing, document-level relation extraction is a complex task that aims to predict the relationships among entities by capturing contextual interactions from an unstructured document. …”
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Multisite study using a customised NLP model to predict disposition in the emergency department: protocol paper by Hamed Akhlaghi, Sam Freeman, Isuru Ranapanada, Md Ali Hossain, Kogul Srikandabala, Damminda Alahakoon, Md Anisur Rahman

“…Introduction To address timely care in emergency departments, artificial neural networks (ANNs) with natural language processing will be applied to triage notes to predict patient disposition. …”
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Detecting proper nouns in indonesian-language translation of the quran using a guided method by Suwanto Raharjo, Retantyo Wardoyo, Agfianto Eko Putra

“…Proper nouns (often abbreviated PN or NNP) are a class of words important in labelling and subsequent text processing, especially in natural language processing (NLP). Name entity recognition (NER) is one study that requires PN. …”
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Knowledge Graph Construction: Extraction, Learning, and Evaluation by Seungmin Choi, Yuchul Jung

“…KGs have been increasingly applied in various domains—such as natural language processing (NLP), recommendation systems, knowledge search, and medical diagnostics—spurring continuous research on effective methods for their construction and maintenance. …”
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A study of conversational agent solution technologies for banana farmer assistance by Luis-Alexander Calvo-Valverde, Kevin Rojas-Salazar, Jose Fabio Hidalgo-Rodríguez, Versalio Mora, Jorge A. Sandoval, Erick Bolaños-Céspedes, Carlos Quirós

“…The creation of a contextualized solution is possible with the advancements of Natural Language Processing (NLP) and its accessibility in cloud services. …”
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The ethics of AI at the intersection of transgender identity and neurodivergence by Max Parks

“…Drawing on evidence that transgender individuals exhibit higher rates of neurodivergence (Pasterski et al. in Arch Sex Behav 43:387–393, 2014) and on the historical pathologization of both identities (Conrad and Schneider in Deviance and medicalization: from badness to sickness, Temple University Press, Philadelphia, 1992), I focus on two domains, healthcare and language processing, to illustrate how choices in data collection, model training, and algorithm design can perpetuate harmful biases. …”
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Scaling Laws for Emulation of Stellar Spectra by Tomasz Różański, Yuan-Sen Ting

“…Greater generalizability has previously been achieved only with significantly larger model architectures, as demonstrated by Transformer-based models in natural language processing. This observation aligns with neural scaling laws, where model performance predictably improves with increased model size, computational resources allocated to model training, and training data volume. …”
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Perception and adaptation of receptive prosody in autistic adolescents by Chigusa Kurumada, Rachel Rivera, Paul Allen, Loisa Bennetto

“…Abstract A fundamental aspect of language processing is inferring others’ minds from subtle variations in speech. …”
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