Identifying developments over a decade in the digital health and telemedicine landscape in the UK using quantitative text mining by Nophar Geifman, Jo Armes, Anthony D. Whetton, Anthony D. Whetton

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Text mining analysis to understand the impact of online news on public health response: case of syphilis epidemic in Brazil by Rafael Pinto, Rafael Pinto, Rafael Pinto, Juciano Lacerda, Juciano Lacerda, Lyrene Silva, Ana Claudia Araújo, Ana Claudia Araújo, Raphael Fontes, Thaisa Santos Lima, Thaisa Santos Lima, Angélica E. Miranda, Angélica E. Miranda, Lucía Sanjuán, Hugo Gonçalo Oliveira, Rifat Atun, Rifat Atun, Ricardo Valentim, Ricardo Valentim

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Cultural Landscape in the Three Gorges Region Based on Ancient Poetry Text Mining from the Tang and Song Dynasties by Wang Xuechun, Mao Huasong, Wu Yinghuaxia

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Intelligent Tourism Recommendation Algorithm based on Text Mining and MP Nerve Cell Model of Multivariate Transportation Modes by Xiao Zhou, Mingzhan Su, Guanghui Feng, Xinghan Zhou

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Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study by Bente Christensen, Daniel Laydon, Tadeusz Chelkowski, Dariusz Jemielniak, Michaela Vollmer, Samir Bhatt, Konrad Krawczyk

“…To the best of our knowledge, our work is the first systematic text mining study of front-page vaccine news headlines in the context of COVID-19.…”
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Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach by Nadezhda Yu. Biziukova, Sergey M. Ivanov, Olga A. Tarasova

Subjects: “…text-mining…”
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Grade prediction via prior grades and text mining on course descriptions: course outlines and intended learning outcomes by Li, Jiawei, Supraja, S., Qiu, Wei, Khong, Andy Wai Hoong

“…We propose the use of text mining to extract semantic, syntactic, and frequency-based features from course content. …”
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Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation by Mustafa, Tareef Kamil, Mustapha, Norwati, Azmi Murad, Masrah Azrifah, Sulaiman, Md. Nasir

“…Problem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these writers have a special way of writing that no other writer has; thus, authorship attribution is the task of identifying the author of a given text. …”
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Text-mining to identify gene sets involved in biocorrosion by sulfate-reducing bacteria: a semi-automated workflow by Thakur, Payal, Alaba, Mathew O., Rauniyar, Shailabh, Singh, Ram Nageena, Saxena, Priya, Bomgni, Alain, Gnimpieba, Etienne Z., Lushbough, Carol, Goh, Kian Mau, Sani, Rajesh Kumar

“…After the corroboration of text mining results with SRB biocorrosion mechanisms, we suggest that the text mining framework could be utilized for genes/proteins extraction and significantly reduce the manual curation time.…”
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Automatic extraction of knowledge for diagnosing COVID-19 disease based on text mining techniques: A systematic review by Mahdi, Amir Yasseen, Siti Sophiayati Yuhaniz, Siti Sophiayati Yuhaniz

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Comparative Pathway Integrator: A Framework of Meta-Analytic Integration of Multiple Transcriptomic Studies for Consensual and Differential Pathway Analysis by Xiangrui Zeng, Wei Zong, Chien-Wei Lin, Zhou Fang, Tianzhou Ma, David A. Lewis, John F. Enwright, George C. Tseng

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Characterizing Positive Energy District (PED) through a Preliminary Review of 60 Existing Projects in Europe by Xingxing Zhang, Santhan Reddy Penaka, Samhita Giriraj, Maria Nuria Sánchez, Paolo Civiero, Han Vandevyvere

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Text mining for disease surveillance in veterinary clinical data: part one, the language of veterinary clinical records and searching for words by Heather Davies, Goran Nenadic, Ghada Alfattni, Ghada Alfattni, Mercedes Arguello Casteleiro, Noura Al Moubayed, Sean O. Farrell, Alan D. Radford, Peter-John M. Noble

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Machine Learning Techniques in the Energy Consumption of Buildings: A Systematic Literature Review Using Text Mining and Bibliometric Analysis by Ahmed Abdelaziz, Vitor Santos, Miguel Sales Dias

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Examining the Supports and Advice That Women With Intimate Partner Violence Experience Received in Online Health Communities: Text Mining Approach by Vivian Hui, Malavika Eby, Rose Eva Constantino, Heeyoung Lee, Jamie Zelazny, Judy C Chang, Daqing He, Young Ji Lee

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Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning-Natural Language Processing (NLP) Approach by Ruth Olusegun, Timothy Oladunni, Halima Audu, YAO Houkpati, Staphord Bengesi

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Self-care in children and young people with complex chronic conditions: a qualitative study using Emotional Text Mining by Giuseppina Spitaletta, Valentina Biagioli, Francesca Greco, Rachele Mascolo, Annachiara Liburdi, Giulia Manzi, Orsola Gawronski, Riccardo Ricci, Emanuela Tiozzo, Ercole Vellone, Teresa Grimaldi Capitello, Michele Salata, Massimiliano Raponi, Immacolata Dall’Oglio, Self-care CYP Study Group, Self-care CYP Study Group, Valentina Vanzi, Daniele Gargano, Alessandra Querciati, Marco Roberti, Manuel Pomponi, Anna Portanova, Tommaso Renzetti, Caterina Offidani

“…Textual data were analyzed using Emotional Text Mining to identify three levels of communication: the factors, the main themes (clusters), and the sub-themes.ResultsA total of 104 participants were enrolled, including 27 patients with complex chronic conditions (12 males, mean age = 11.1 ± 4.40), 33 parents, 6 siblings, 33 health professionals, and 5 teachers. …”
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In-Depth Analysis of Physiologically Based Pharmacokinetic (PBPK) Modeling Utilization in Different Application Fields Using Text Mining Tools by Aleksandra Krstevska, Jelena Đuriš, Svetlana Ibrić, Sandra Cvijić

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A Hybrid Technological Innovation Text Mining, Ensemble Learning and Risk Scorecard Approach for Enterprise Credit Risk Assessment by Yang Mao, Shifeng Liu, Daqing Gong

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Sentiment Analysis Towards Kartu Prakerja Using Text Mining with Support Vector Machine and Radial Basis Function Kernel by Belindha Ayu Ardhani, Nur Chamidah, Toha Saifudin

“…Keywords: Kartu Prakerja, Sentiment Analysis, Support Vector Machine, Text Mining, Radial Basis Function…”
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