What went right and what went wrong in my cellar door visit? A worldwide analysis of TripAdvisor’s reviews of Wineries & Vineyards by Elena Barbierato, Iacopo Bernetti, Irene Capecchi

“…We propose a methodology based on a combination of sentiment analysis and natural language processing applied to 89,672 TripAdvisor reviews. …”
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Deriving equivalent symbol-based decision models from feedforward neural networks by Sebastian Seidel, Uwe M. Borghoff

“…Artificial intelligence (AI) has emerged as a transformative force across industries, driven by advances in deep learning and natural language processing, and fueled by large-scale data and computing resources. …”
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SynergyScore: Leveraging Pretrained Language Models for Effective Evaluation of Code-Switched Sentences by S. R. Mithun Kumar, Arjun Khandelwal, Chinmay Bidarkar, Aruna Malapati

“…This study highlights SynergyScore’s potential to enhance code-switching evaluation and sets a foundation for further advancements in multilingual natural language processing.…”
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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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Professional Development Analytics: A Smart Model for Industry 5.0 by Natalia Tusquellas, Raúl Santiago, Ramon Palau

“…The proposed AI tools are powered by machine learning, deep learning, natural language processing, generative AI and data analytics. Our model aims to support learning and development departments by delivering precise, personalized training solutions that address employees’ unique needs, enabling skill development and professional growth through an automated and customized process.…”
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Risk assessment in sociotechnical systems based on functional resonance analysis method and hierarchical fuzzy inference tree by Ashish Kumar, Sudhir Kumar Singh, Biswajit Samanta, Ashis Bhattcherjee

“…The present study aims to develop a comprehensive risk assessment methodology tailored for complex socio-technical systems, integrating the functional resonance analysis method, soft computing, natural language processing, and multi-criteria decision-making. …”
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Enhancing early depression detection with AI: a comparative use of NLP models by Bakir Hadzic, Parvez Mohammed, Michael Danner, Julia Ohse, Yihong Zhang, Youssef Shiban, Matthias Rätsch

“…In this paper, we compared three natural language processing models, namely, BERT, GPT-3.5 and GPT-4 on three different datasets. …”
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LLMs in Action: Robust Metrics for Evaluating Automated Ontology Annotation Systems by Ali Noori, Pratik Devkota, Somya D. Mohanty, Prashanti Manda

“…As the manual curation of ontology annotations becomes increasingly infeasible due to the exponential growth of biomedical and genomic data, natural language processing (NLP)-based systems have emerged as scalable alternatives. …”
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A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization by Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Jan Rodríguez-Miret, Santiago Frid, Xavier Pastor, Xavier Borrat, Martin Krallinger

“…Abstract The advancement of clinical natural language processing systems is crucial to exploit the wealth of textual data contained in medical records. …”
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Grammaticality representation in ChatGPT as compared to linguists and laypeople by Zhuang Qiu, Xufeng Duan, Zhenguang G. Cai

“…We attribute these results to the psychometric nature of the judgment tasks and the differences in language processing styles between humans and LLMs.…”
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Machining Scheme Selection of Features Based on Process Knowledge Graph and Improved Cosine Similarity Matching by Lin Wang, Hao Cheng, Rui Wang, Xunzhuo Huang

“…First, process knowledge is extracted using natural language processing techniques, focusing on forming ternary groups such as part–feature, feature–attribute, and scheme–resource to construct a multi-level process knowledge graph. …”
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Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding by Weidong Zhao, Xiaotong Liu, Jun Jing, Rongchang Xi

“…Natural language processing text similarity calculation is a crucial and difficult problem that enables matching between various messages. …”
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AI-enhanced chatbot for improving healthcare usability and accessibility for older adults by Abdulrahman Khamaj

“…It employs machine learning and natural language processing algorithms to make it more sensitive to patients’ needs. …”
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Review of Enhancement Research for Closed-Source Large Language Model by LIU Hualing, ZHANG Zilong, PENG Hongshuai

“…With the rapid development of large language models in the field of natural language processing, performance enhancement of closed-source large language models represented by the GPT family has become a challenge. …”
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METAGRAPH THEORY AS A BASIS FOR MODELING RELEVANT MEDIA DISCOURSE by Yuriy E. Gapanyuk

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In-Depth Analysis of Various Artificial Intelligence Techniques in Software Engineering: Experimental Study by Mohd Mustaqeem, Tamanna Siddiqui, Najeeb Ahmad Khan, Deepak Kumar

“…Our manuscript shows various AI-based algorithms that include Machine learning techniques (ML), Artificial Neural Networks (ANN), Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN), Natural Language Processing (NLP), Genetic Algorithms (GA) applications. …”
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Enhancing Personalized Fitness: Integrating Large Language Model by Pardhi Praful R., Wagh Saurabh, Sharma Gaurav, Goyal Abhash, Pawar Pavan

“…Our methodology combines the natural language processing capabilities of LLMs with exercise science and nutrition principles. …”
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Sound symbolism is not "marginal" in Chinese: Evidence from diachronic rhyme books. by Yingying Meng, Yuwei Wan, Chunyu Kit

“…Employing natural language processing techniques along with statistical methods, it investigates whether phonologically related Chinese characters, as documented in rhyme books, also demonstrate semantic congruence, which would suggest that the phonological aspects of characters are inherently meaningful and hence indicate a systematic, rather than random or purely arbitrary relationship between sounds and meanings. …”
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Adaptive intelligent tutoring systems for STEM education: analysis of the learning impact and effectiveness of personalized feedback by William Villegas-Ch, Diego Buenano-Fernandez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete

“…The system integrates advanced deep learning and natural language processing models, allowing for targeted feedback and dynamic adjustment of learning trajectories. …”
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Complex Network Analytics for Structural–Functional Decoding of Neural Networks by Jiarui Zhang, Dongxiao Zhang, Hu Lou, Yueer Li, Taijiao Du, Yinjun Gao

“…Neural networks (NNs) achieve breakthroughs in computer vision and natural language processing, yet their “black box” nature persists. …”
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