Developing Artificial Intelligence-Powered Monetary Policy Communication Indicators for Macroeconomic Inquiries in Ghana by Francis Mawuli Abude, Jones Odei-Mensah, Eric Schaling

“…In this study, Artificial Intelligence (AI)-powered text-mining techniques were employed to create monetary policy communication-based indicators, namely the Monetary Policy Readability Index (MPRI), the Monetary Policy Sentiment Index (MPSI), and the Monetary Policy Uncertainty Index (MPUI), using press releases from the Bank of Ghana's monetary policy committee spanning January 2003 to December 2022. …”
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The impact of AI on enterprise energy management: from the perspective of carbon emissions by Yang Guilin, Yang Guihua, Yang Wanping

“…Given the significant impact of Artificial Intelligence (AI) technology on corporate energy management and the lack of research in this area, this paper employs text mining techniques to objectively assess the relative level of AI adoption among Chinese listed companies. …”
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HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes by Yongkang Kim, Taesung Park

“…The proposed HisCoM-mimi supports both TargetScan and miRTarBase, which provides manually-verified information initially gathered by text-mining the literature. By integrating information from miRTarBase into HisCoM-mimi, a broad range of target information derived from the research literature can be analyzed. …”
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Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China by Qing Yang, Hui Zhou, Xingxing Liu, Chen Zuo, Jinmei Wang

“…Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. …”
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Association Analysis of Reactive Oxygen Species-Hypertension Genes Discovered by Literature Mining by Ji Eun Lim, Kyung-Won Hong, Hyun-Seok Jin, Bermseok Oh

“…This study demonstrates that a text mining approach combined with association analysis may be useful to identify the candidate genes that cause hypertension through ROS or oxidative stress.…”
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Global Trends in Studies on the Presence of Demodex spp in Patients Diagnosed with Blepharitis by Rahmi Yildiz, Milad Afşar, Sadi Elasan

“…In this study, analysis using text mining and data visualization techniques (bubble maps and graphs) helped to make the results more understandable. …”
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Twenty years of gender equality research: A scoping review based on a new semantic indicator. by Paola Belingheri, Filippo Chiarello, Andrea Fronzetti Colladon, Paola Rovelli

“…Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. …”
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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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AI-Enhanced Robotic Process Automation: A Review of Intelligent Automation Innovations by Sadia Afrin, Shobnom Roksana, Riad Akram

“…By leveraging AI techniques such as classification, text mining of neural network, RPA technologies optimize business operations and advance Industry 4.0. …”
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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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Quantitative evaluation of two-way referral policies based on PMC index model by Jing Gong, Leiyu Shi, Jinsong Deng, Wanzhen Xie, Shengwu Liao, Oudong Xia, Gang Sun

“…Basing on the focus of the two-way referral policy identified by text-mining methods, we constructed a PMC index model containing 9 primary and 43 secondary variables to conduct a quantitative evaluation of the two-way referral policy. …”
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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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