Article
Geology
Bin Wang, Kai Ma, Liang Wu, Qinjun Qiu, Zhong Xie, Liufeng Tao
Summary: This research utilizes text mining and visualization techniques to improve the transmission efficiency and understanding of key information in geological reports, thus fully utilizing the stored textual geoscience data.
ORE GEOLOGY REVIEWS
(2022)
Article
Chemistry, Multidisciplinary
Kanwal Ahmed, Muhammad Imran Nadeem, Dun Li, Zhiyun Zheng, Yazeed Yasin Ghadi, Muhammad Assam, Heba G. Mohamed
Summary: The study proposes a hybrid model GA(SAE)-SVM for sentiment analysis, which utilizes a genetic algorithm to optimize the hyperparameters of stacked autoencoders. The proposed model outperforms the baseline and state-of-the-art techniques when evaluated on eight benchmark datasets.
APPLIED SCIENCES-BASEL
(2022)
Review
Geosciences, Multidisciplinary
Achraf Tounsi, Marouane Temimi
Summary: Natural language processing (NLP) is a promising tool for collecting hard-to-obtain data during extreme weather events. This paper reviews peer-reviewed studies on NLP's use in assessing heavy rainfall events. The findings show that NLP remains underutilized but has the potential to improve weather event assessment and generate new information to complement ground-based sensors.
Review
Biochemistry & Molecular Biology
Sofia I. R. Conceicao, Francisco M. Couto
Summary: In building biological networks, providing reliable interactions is crucial. Text mining methods can help extract knowledge from scientific literature to overcome the challenge of tracking recent discoveries. These tools can lead to more reliable and personalized networks by identifying relations between entities of interest.
Article
Computer Science, Artificial Intelligence
Yunpeng Ren, Wenxin Hu, Ziao Wang, Xiaofeng Zhang, Yiyuan Wang, Xuan Wang
Summary: Generating long macro reports from short text is a challenging task, and a hybrid deep generative neural model is proposed in this paper to tackle this issue. Experimental results show that the model performs well in evaluation criteria, but further efforts are needed to improve readability.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Health Care Sciences & Services
Emily Hadley, Laura Haak Marcial, Wes Quattrone, Georgiy Bobashev
Summary: This research evaluates the free-response text section in the F990H form of nonprofit hospitals using natural language processing, focusing on health equity and disparities. The study finds that although hospitals show increasing awareness of health equity and disparities in their community benefit documentation, this does not necessarily align with public interest or result in additional action. Further investigation on alignment with community health needs assessments and improvements to F990H reporting requirements are proposed.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Hyejin Jang, Yujin Jeong, Byungun Yoon
Summary: This study proposes a methodology for designing a TechWord-based lexical database that aims to improve the text mining performance of technological information.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Biochemical Research Methods
Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R. S. Arends, Miguel A. R. Rios, Saskia Haitjema
Summary: When developing models for clinical information retrieval and decision support systems, the extraction of labels from free text in electronic health records is crucial. This study compares three methods for negation detection in Dutch clinical notes, and found that the biLSTM and RoBERTa-based models consistently outperformed the rule-based model in terms of accuracy. The findings also provide insights for further improvement and suggest the viability of different approaches depending on the use case.
BMC BIOINFORMATICS
(2023)
Article
Computer Science, Information Systems
Gildasio Antonio de Oliveira Junior, Rafael Timoteo de Sousa Jr, Robson de Oliveira Albuquerque, Luis Javier Garcia Villalba
Summary: This research focuses on the robustness and vulnerabilities of sentiment classifiers in social media applications against new adversarial attacks, proposing some countermeasures that might mitigate these attacks.
COMPUTER COMMUNICATIONS
(2021)
Article
Engineering, Biomedical
Javier O. Corvi, Austin McKitrick, Jose M. Fernandez, Carla V. Fuenteslopez, Josep L. Gelpi, Maria-Pau Ginebra, Salvador Capella-Gutierrez, Osnat Hakimi
Summary: This article introduces an automated system for extracting biomaterial-related information from MEDLINE research abstracts using text mining technologies. The system identifies 16 concept types related to biomaterials and deposits them, along with the abstract and relevant metadata, into the DEBBIE database. DEBBIE is accessible through a web application that enables keyword searches and displays results in a user-friendly manner, facilitating efficient organization and mapping of biomaterials information.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Computer Science, Information Systems
Zhiwen Xie, Runjie Zhu, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang, Xiaohui Cui
Summary: This paper introduces the construction of medical knowledge graphs based on machine learning and artificial intelligence in response to the COVID-19 pandemic. It proposes a graph feature collection network (GFCNet) for COVID-19 KG embedding task, which considers both neighbor and attribute features in KGs. Experimental results on the COVID-19 drug KG dataset demonstrate the effectiveness and efficiency of the proposed model, and future directions for deepening the study on COVID-19 KGE task are discussed.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Marco Arazzi, Serena Nicolazzo, Antonino Nocera, Manuel Zippo
Summary: The study of Online Social Networks provides opportunities to understand how human society works at scale. This paper focuses on the language used by users and its impact on online communities. By adopting a multi-relational model and introducing a new relation type (co-interest), thematic communities can be derived. By analyzing Twitter and Reddit, it is found that language plays a significant role in the formation of strong communities.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Food Science & Technology
Ziyang Chen, Cristhiam Gurdian, Chetan Sharma, Witoon Prinyawiwatkul, Damir D. Torrico
Summary: Increased meat consumption has been linked to various environmental and animal welfare issues. To address this, alternative proteins like plant-based and insect-based proteins have gained popularity in research. Text mining and NLP have been explored as efficient tools in identifying trends and sentiments in sensory studies, providing a rapid and comprehensive analysis of consumer perceptions towards alternative proteins.
Review
Computer Science, Theory & Methods
Luciano Ignaczak, Guilherme Goldschmidt, Cristiano Andre Da Costa, Rodrigo Da Rosa Righi
Summary: The article discusses the application of text mining in the cybersecurity domain to improve activity efficiency and proposes a taxonomy to demonstrate the different activities supported by text mining. It also discusses text classification performance, neural network support, and highlights future research directions.
ACM COMPUTING SURVEYS
(2021)
Article
Computer Science, Information Systems
Yin-Fu Huang, Yi-Hao Li
Summary: NLP enables machines to understand natural languages. This paper proposes developments in translating sentimental statements using deep learning techniques, with satisfactory results.