Unstructured Electronic Health Records of Dysphagic Patients Analyzed by Large Language Models by Luisa Neubig, Deirdre Larsen, Melda Kunduk, Andreas M. Kist

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Improvement of knowledge in NLP based on AI for students and teachers in the fashion department by Dwi Intan Af'idah, Sharfina Febbi Handayani, Muhammad Fikri Hidayattullah, Putri Ajeng Imamah

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UNA REVISIÓN A LA MINERIA DE OPINIONES Y LOS RETOS DEL PNL by Hector Nigro

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Persuasive chatbot-based interventions for depression: a list of recommendations for improving reporting standards by Kerstin Denecke, Octavio Rivera Romero, Octavio Rivera Romero, Rolf Wynn, Rolf Wynn, Elia Gabarron, Elia Gabarron

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Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

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LOGIC: LLM-originated guidance for internal cognitive improvement of small language models in stance detection by Woojin Lee, Jaewook Lee, Harksoo Kim

Subjects: “…Natural language processing…”
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Automated classification of online reviews of otolaryngologists by Jake G. Stenzel, Nicholas R. Schultz, Michael J. Marino

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EVOCA: Explainable Verification of Claims by Graph Alignment by Carmela De Felice, Carmelo Fabio Longo, Misael Mongiovì, Daniele Francesco Santamaria, Giusy Giulia Tuccari

Subjects: “…natural language processing…”
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PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing by Fatemeh Jafarinejad, Marziea Rahimi, Maryam Khodabakhsh, Seyedehfatemeh Karimi

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MineObserver: A Deep Learning Framework for Assessing Natural Language Descriptions of Minecraft Imagery by Jay Mahajan, Samuel Hum, Jeff Ginger, H. Chad Lane

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Using social media for environmental insight: a multi-model deep learning framework approach by Minglu Che, Chengyao Wang, Yanyun Nian, Pinqi Rao

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ChatgaiyyaAlap: A dataset for conversion from Chittagonian dialect to standard BanglaMendeley Data by Sinthia Chowdhury, Deawan Rakin Ahamed Remal, Syed Tangim Pasha, Ashraful Islam, Sheak Rashed Haider Noori

Subjects: “…Natural language processing…”
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

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Associations of remote mental healthcare with clinical outcomes: a natural language processing enriched electronic health record data study protocol by Rashmi Patel, Paolo Fusar-Poli, Muhammad Shamim Ahmed, Daisy Kornblum, Dominic Oliver

“…We aim to investigate clinical and demographic associations with remote mental healthcare in a large electronic health record (EHR) dataset and the degree to which remote care is associated with differences in clinical outcomes using natural language processing (NLP) derived EHR data.Methods and analysis Deidentified EHR data, derived from the South London and Maudsley (SLaM) National Health Service Foundation Trust Biomedical Research Centre (BRC) Case Register, will be extracted using the Clinical Record Interactive Search tool for all patients receiving mental healthcare between 1 January 2019 and 31 March 2022. …”
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Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

“…Central to the approach is the assessment of context-dependent similarity for substituents, a new concept in cheminformatics, which is based upon vector embeddings and word pair relationships adapted from natural language processing.…”
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IMPLEMENTASI PERANGKAT TEXT-TO-SPEECH PEMANGGIL SISWA MANDIRI BERBASIS NATURAL LANGUAGE PROCESSING DI MIT BAKTI IBU KOTA MADIUN by Ardian Prima Atmaja, Sigit Kariagil Bimonugroho, Tri Septianto, Mochamat Bayu Aji, M. Shafwallah Al. Aziz R, Dimas Adi Saputra

“…Tujuan kegiatan ini adalah untuk meningkatkan efisiensi dalam pemanggilan para siswa, pada kegiatan ini akan diimplementasikan sebuah perangkat Artificial Intelligence (AI) pemanggil siswa mandiri berbasis Natural Language Processing (NLP), dan memanfaatkan teknologi Text-to-Speech (TTS) yang ditanam pada platform Mini PC menggunakan sistem operasi Linux dengan layar sentuh yang terhubung dengan server melalui internet. …”
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Advancements and gaps in natural language processing and machine learning applications in healthcare: a comprehensive review of electronic medical records and medical imaging by Priyanka Khalate, Shilpa Gite, Shilpa Gite, Biswajeet Pradhan, Chang-Wook Lee

Subjects: “…natural language processing…”
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An Advanced Natural Language Processing Framework for Arabic Named Entity Recognition: A Novel Approach to Handling Morphological Richness and Nested Entities by Saleh Albahli

Subjects: “…natural language processing (NLP)…”
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Healthcare resource utilization burden associated with cognitive impairments identified through natural language processing among patients with schizophrenia in the United States by Jerome Vaccaro, Mona Nili, Pin Xiang, James K. Nelson, Cory Pack, Randall Thompson, Joe Vasey, Joseph Parks

“…In this study we aimed to identify documented cognitive impairments using natural language processing (NLP) and to characterize treatment patterns and healthcare resource utilization (HCRU) among patients with schizophrenia. …”
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Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis by Xing Xing Qian, Pui Hing Chau, Daniel Y T Fong, Mandy Ho, Jean Woo

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