Pparg may Promote Chemosensitivity of Hypopharyngeal Squamous Cell Carcinoma by Meng Lian, Jiaming Chen, Xixi Shen, Lizhen Hou, Jugao Fang

“…In the CPS group, expression levels of PPARG were higher than that in the CNSP group (log‐fold‐change=0.50). Structured text mining identified two chemosensitivity-related regulatory pathways driven by PPARG. …”
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Synergy Effect in Platform Ecosystem: A Quantitative Analysis of Smart Home Products by Ruiyang Tang, Yuki Inoue, Masaharu Tsujimoto

“…Synergy effect is categorized into synergy with platform and complements. Firstly, text mining summarizes the characteristics of synergy effect between complements and platform (System-to-system interoperability, Coordinated interconnection integration, User interaction coordination, Remote coordination flexibility) and synergy effect between complements and complements (Dynamic interaction coordination, Multi-scenario coordination, Spatial Controllability, Personalized setting coordination). …”
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Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison by Yongmao Yang, Kampol Woradit, Kenneth Cosh

“…Furthermore, it leverages weighted similarity measures and employs advanced log-likelihood text mining techniques. These innovations are designed to tackle cold-start problems and sparsity issues while compensating for information loss to mitigate errors. …”
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Otomatisasi Pendeteksi Kata Baku Dan Tidak Baku Pada Data Twitter Berbasis KBBI by M. Irfan Raif, Nuraisa Novia Hidayati, Tekad Matulatan

“…Metode ini mendukung analisis sentimen dalam text mining dan memastikan hasil klasifikasi sentimen yang lebih akurat dalam data Twitter. …”
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Sociology of values: experience of building a taxonomy by using natural language analysis technology by M. A. Kashina, S. Tkach

“…At the first stage, 121 abstracts of a scientific articles were analyzed using text mining, after which their total array was divided into clusters. …”
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Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis by Monalisa Ghosh, Goutam Sanyal

“…Feature generation and selection are consequent for text mining as the high-dimensional feature set can affect the performance of sentiment analysis. …”
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Researching Organic Solar Cells from the Perspective of Literature Big Data Analysis by Qing Wang, Zhixin Liu, Shengda Zhao, Yangjun Yan, Xinyi Li, Yajie Zhang, Xinghua Zhang

“…The correlations between key performance parameters, including PCE, short‐circuit current density (JSC), open‐circuit voltage (VOC), and fill factor (FF), are revealed from text mining. A donor–acceptor material map of PCE is constructed which provides a road map for OSCs, indicating the bottleneck of this field. …”
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The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community by Beibei Yang, Wei Lu, Yan Xuan, Chongqi Hao, Xiaojun Huang

“…Detecting different types and different sources of social support activities via text mining contributes to between understanding patient decision behavior in OHCs. …”
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Economic instruments for population diet and physical activity behaviour change: a systematic scoping review. by Ian Shemilt, Gareth J Hollands, Theresa M Marteau, Ryota Nakamura, Susan A Jebb, Michael P Kelly, Marc Suhrcke, David Ogilvie

“…Systematic electronic searches and parallel snowball searches retrieved >1 million study records. Text mining technologies were used to prioritise title-abstract records for screening. …”
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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…Consequently, advanced text mining algorithms should be applied to help aviation safety experts facilitate the process of incident data extraction. …”
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Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model by Ram Chandra Bhushan, Rakesh Kumar Donthi, Yojitha Chilukuri, Ulligaddala Srinivasarao, Polisetty Swetha

“…Abstract Background Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). …”
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Team Assembly Mechanisms and the Knowledge Produced in the Mexico’s National Institute of Geriatrics: A Network Analysis and Agent-Based Modeling Approach by Carmen García-Peña, Luis Miguel Gutiérrez-Robledo, Augusto Cabrera-Becerril, David Fajardo-Ortiz

“…In this paper, by a combination of text mining, coauthorship network analysis, and agent-based modeling, we analyzed and modeled the team assembly practices and the structure of the knowledge produced by scientists from INGER. …”
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GlucoGenes^®, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research by V. V. Klimontov, K. S. Shishin, R. A. Ivanov, M. P. Ponomarenko, K. A. Zolotareva, S. A. Lashin

“…The data were collected using text mining of the publications indexed in PubMed and PubMed Central and analysis of gene networks associated with hyperglycemia, hypoglycemia and glucose variability performed with ANDSystems, a bioinformatics tool. …”
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Exploring the Link between Financial Reporting Models and Earnings Characteristics among Tehran Stock Exchange Listed Companies by Roya Amiri, Ali Ashtab, Mahdi Heydari

“…In the present study, the required data have been extracted from Rahavard Novin software, financial statements of companies and text mining as well as the Codal website. The statistical population of the present study includes companies listed on the Tehran Stock Exchange from 2012 to 2022. …”
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THE SOLANUM TUBEROSUM KNOWLEDGE BASE: THE SECTION ON MOLECULAR-GENETIC REGULATION OF METABOLIC PATHWAYS by T. V. Ivanisenko, O. V. Saik, P. S. Demenkov, V. K. Khlestkin, E. K. Khlestkina, N A. Kolchanov, V. А. Ivanisenko

“…Effective access to knowledge distributed over such a multitude of non-formalized natural language textual sources requires the use of special computer-assisted intelligent methods of data mining (text-mining). However, in the literature, there is no data on the application of intellectual methods of automatic knowledge extraction from publications on agricultural crops, such as potato. …”
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Molecular-genetic pathways of hepatitis C virus regulation of the expression of cellular factors PREB and PLA2G4C, which play an important role in virus replication by E. L. Mishchenko, A. A. Makarova, E. A. Antropova, A. S. Venzel, T. V. Ivanisenko, P. S. Demenkov, V. A. Ivanisenko

“…In this paper, using a text-mining technology provided by ANDSystem, we reconstructed and analyzed gene networks describing regulatory effects on the expression of PREB and PLA2G4C by HCV proteins. …”
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Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study by Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah

“…The questionnaire assesses proficiency in providing accurate information on COVID-19 in relation to pregnancy. Text-mining, sentiment analysis, and readability (Flesch-Kincaid grade level and Flesch Reading Ease Score) were also conducted. …”
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Penerapan Metode Association Rule Mining untuk Asosiasi Ulasan Terhadap Aspek Tempat Wisata Jawa Timur Park 3 by Aisyatul Maulidah, Fitra A. Bachtiar

“…The Association Rule Mining (ARM) technique is a text mining method that can support the knowledge discovery process in large document collections. …”
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