Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records by Judit M. Wulcan, Kevin L. Jacques, Mary Ann Lee, Samantha L. Kovacs, Nicole Dausend, Lauren E. Prince, Jonatan Wulcan, Sina Marsilio, Stefan M. Keller

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A Lexicon-Based Framework for Mining and Analysis of Arabic Comparative Sentences by Alaa Hamed, Arabi Keshk, Anas Youssef

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Biomarker_nlp: A Python Package for Mining Biomarker Information for Targeted Cancer Therapies by Junxia Lin, Yuezheng He, Subha Madhavan, Chul Kim, Simina M. Boca

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Sağlık Kuruluşlarının Kurumsal İtibarının Metin Madenciliği ve Duygu Analizi ile Değerlendirilmesi by Fatma Yiğit Açıkgöz, Dilşad Erdoğan, Hasan Şahin, Mehmet Kayakuş

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Prioritization of potato genes involved in the formation of agronomically valuable traits using the SOLANUM TUBEROSUM knowledge base by P. S. Demenkov, O. V. Saik, T. V. Ivanisenko, N. A. Kolchanov, A. V. Kochetov, V. A. Ivanisenko

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Hybrid natural language processing tool for semantic annotation of medical texts in Spanish by Leonardo Campillos-Llanos, Ana Valverde-Mateos, Adrián Capllonch-Carrión

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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

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Bilgi Yönetimi Bağlamında Metin Madenciliği Teknikleri ile Dijital İçerik Analizi by İnci Batmaz, Levent Kurt, Oya Gürdal

Subjects: “…text mining…”
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Prioritization of biological processes based on the reconstruction and analysis of associative gene networks describing the response of plants to adverse environmental factors by P. S. Demenkov, E. A. Oshchepkova, T. V. Ivanisenko, V. A. Ivanisenko

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Covid-19 Pandemisinde Sağlık Çalışanları ve Öğretmenlere Yönelik Algının Duygu Analizi ile Twitter Verileri Üzerinden İncelenmesi by Nurbanu Bursa, Refika İmge Günyaktı

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Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur by Fajar Delli Wihartiko, Sri Nurdiati, Agus Buono, Edi Santosa

“…Metodologi yang digunakan adalah Systematic Literature Review (SLR) dan text mining. Text mining digunakan untuk memberikan deskripsi riset yang ada berdasarkan kata-kata di setiap artikel terpilih. …”
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Présence des pauvres. La fouille de texte dans les sources de langue arabe du Maroc moderne (xviiie‑xixe siècles) by Antoine Perrier

“…As a first experiment in a wider project, text mining, despite its limitations, further illustrates the relevance of these sources for the social history of Morocco.…”
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Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics by Wonyong Jang, Jaeyeon Hwang

“…The results were as follows: First, text mining was conducted to analyze word frequencies and examine TF-IDF scores. …”
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A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques by Ali Soleymani, Fatemeh Arabgol

“…The machine learning algorithm and text mining used to analyze the network DNS protocol and identify botnets were also described. …”
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Effect of Employees’ Values on Employee Satisfaction in Japanese Retail and Service Industries by Tomonori Matsuki, Jun Nakamura

“…However, some nonregular employees are content, although their work conditions are not good. Here, text mining was used to explore differences between the values of regular and nonregular employees in the retail and service industries.…”
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A Bibliometric Analysis and Visual Review of Housing Policy Framework Development Research by Clinton Aigbavboa, Wellington Twala

“…This study adopted a text mining tool, namely VOSviewer, to examine the bibliometric association in housing policy f ramework development research in a number of academic disciplines. …”
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Polyimide-Based Materials for Lithium-Ion Battery Separator Applications: A Bibliometric Study by Huakun Hu, Wendong Xue, Peng Jiang, Yong Li

“…We searched the published papers (2012–2021) from the WOS core collection database for analysis and analyzed their research progress and development trend based on CiteSpace text mining and visualization software. The analysis shows that the PI-based composite separator material is a research hotspot in the future and the combination of nanofiber and cellulose materials with PI is also an important research direction in the future.…”
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Vectors of Violence: Legitimation and Distribution of State Power in the _People’s Liberation Army Daily_ (_Jiefangjun Bao_), 1956-1989 by Aaron Gilkison, Maciej Kurzynski

“…Combining close reading and historical analysis with quantitative conceptuality and text mining, we demonstrate how the *PLA Daily* legitimizes state violence differently through its representation of various soldier figures, the *zhanshi*, the *junren*, and the *minbing*. …”
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Semantic communication system with efficient integration of global and local context features by Peng LUO, Yueling LIU, Yuyuan ZHANG, Kuo CAO, Haitao ZHAO, Jibo WEI

“…A communication system based on extended contextual semantic features was proposed by using an end-to-end integrated design method based on deep learning.Unlike existing research that focused only on local context while neglecting global context, the proposed system integrated both local and global contextual knowledge, semantic encoding and decoding was utilized by extended contextual knowledge, thereby enhancing the reliability of the semantic communication system.At the transmitter, efficient semantic representation was achieved through extended contextual semantic encoding.At the receiver, the accuracy of semantic inference was improved by combining mechanisms such as historical communication text mining, contextual semantic feature learning, and heuristic graph-based decoding strategy.When comparing with the traditional communication system and the existing semantic communication systems, simulation results demonstrate that the proposed system significantly improves the reliability of the communication system under low signal-to-noise ratio.…”
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Intelligent correlation method of typical business data in power communication operation management by Guilong WU, Zhimin YANG, Yu HUANG

“…In the process of power communication operation management, various independent business data, such as trouble tickets, duty logs, maintenance tickets, and inspection records, are generated and stored.These business data provide important support for the operation management of the power communication network.At present, the statistical process of most business data is relatively independent, and there is less manual correlation in the later stage.Two typical business data of duty log and trouble ticket in power communication operation management were selected, text mining technology was used to build a machine learning model combining unsupervised recall and supervised classification, and the intelligent association method between duty log and trouble ticket was proposed.Besides, the relevant historical business data in the electric power communication operation management system was used to do the experimental verification of the intelligent association method.The results show that it can achieve positive effect.…”
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