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Academic Articles & Research Papers
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Zohre Rahsepar, Keyvan Salehi, Mitra Ezati, Mohammad Mehdi Zolfaghar Zade Kermani • فصلنامه نوآوریهای آموزشی
(2019)
Due to its wide range and importance, the education system has very important and complex elements that if we neglect to monitor their future variations, it can lead to undeniable and profound damages to the results that are expected to be ...
DOAJ
Open Access (DOAJ)
DOI: 10.22034/jei.2019.92888
Sean M. Eddington, Caitlyn Jarvis • Media and Communication
(2022)
Online communities of practice are a useful professional development space, where members can exchange information, aggregate expertise, and find support. These communities have grown in popularity within higher education—especially on soci...
DOAJ
Open Access (DOAJ)
DOI: 10.17645/mac.v10i2.5053
Giovanni Boccia Artieri, Francesca Greco, Gevisa La Rocca • Partecipazione e Conflitto
(2021)
The article focuses on Italians' reactions to the pandemic on Twitter. During the first phase of the 2020 lockdown (from the beginning of March 2020 - to the beginning of May 2020), a real-time dataset was built, linking data scratching to ...
DOAJ
Open Access (DOAJ)
DOI: 10.1285/i20356609v14i1p261
Eskedar Gizat Desalegn, Maria João Coelho Guedes, Jorge Filipe Da Silva Gomes, Shiferaw Mitiku Tebeka • Future Business Journal
(2024)
Abstract Organizational agility is the ability of an organization to swiftly and efficiently respond to changes in the organization’s environment. However, the literature demonstrates the interchangeability of agility, flexibility, adaptabi...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s43093-024-00405-6
Yong-Mi Kim, Dursun Delen • Health Informatics Journal
(2016)
The objective of this research is to identify major subject areas of medical informatics and explore the time-variant changes therein. As such it can inform the field about where medical informatics research has been and where it is heading...
OPENALEX
DOI: https://doi.org/10.1177/1460458216678443
Smith, Yvonne, Garcia-Torres, Rosalia, Coughlin, Steven S, Ling, Jiying et al. • JMIR Research Protocols
(2020)
BackgroundFor those living with type 2 diabetes mellitus (T2DM), failing to engage in self-management behaviors leads to poor glycemic control. Social cognitive theory (SCT) has been shown to improve health behaviors by altering cognitive p...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/17148
Ruijie Tang, Peiqi Zhu, Ruxue Yan, Yaping Zhou et al. • Digital Health
(2025)
Objectives Urinary tract infections (UTIs) frequently affect individuals of all ages, necessitating antibiotic treatment and medical care, which can impair quality of life and cause psychological strain. Online Health Consultation (OHC) pla...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/20552076251393289
V Geetha, C.K. Gomathy, Mr.D.Sri Datta Vallab Yaratha Yagn, Sai Praneesh • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
(2023)
Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...
OPENALEX
Open Access
DOI: https://doi.org/10.55041/ijsrem27094
Luciano Ignaczak, Guilherme Goldschmidt, Cristiano André da Costa, Rodrigo da Rosa Righi • ACM Computing Surveys
(2021)
The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstruc...
OPENALEX
DOI: https://doi.org/10.1145/3462477
Zhiqiang Zeng, Hua Wang Shi, Yun Wu, Zhiling Hong • Computational and Mathematical Methods in Medicine
(2015)
Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives....
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cc-by
DOI: https://doi.org/10.1155/2015/674296
PMC: 4615216
Elsa Olivetti, Jacqueline M. Cole, Edward Kim, Olga Kononova et al. • Applied Physics Reviews
(2020)
Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly hetero...
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other-oa
DOI: https://doi.org/10.1063/5.0021106
Anne Kao, Steve Poteet • ACM SIGKDD Explorations Newsletter
(2005)
This paper provides an introduction to this special issue of SIGKDD Explorations devoted to Natural Language Processing and Text Mining....
OPENALEX
DOI: https://doi.org/10.1145/1089815.1089816
Angel R. Martinez • Wiley Interdisciplinary Reviews Computational Statistics
(2010)
Abstract Approximately 40 years ago, the goal of endowing computers with the capacity to understand natural language began. These efforts were originally callednatural language understanding, which is now more frequently callednatural langu...
OPENALEX
DOI: https://doi.org/10.1002/wics.76
Kevin Bretonnel Cohen, Dina Demner‐Fushman • Natural language processing
(2014)
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the per...
OPENALEX
DOI: https://doi.org/10.1075/nlp.11
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park • Automation in Construction
(2023)
OPENALEX
DOI: https://doi.org/10.1016/j.autcon.2023.105200
Tichakorn NETSUWAN, Kraisak KESORN • Walailak Journal of Science and Technology
(2017)
This research presents online crime news analysis using text mining, Natural Language Processing framework (General Framework for Text Mining: GATE), and data warehouse (DW) technologies. The proposed framework aims at extracting key featur...
DOAJ
Open Access (DOAJ)
Rada F. Mihalcea, Dragomir Radev • Cambridge University Press eBooks
(2011)
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different p...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511976247
Anne Kao, Stephen R. Poteet • Springer eBooks
(2007)
OPENALEX
DOI: https://doi.org/10.1007/978-1-84628-754-1
Lei Zhang, Shuai Wang, Bing Liu • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
(2018)
Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state‐of‐the‐art prediction results. Along with the success of deep learning in many appl...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/widm.1253
Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza et al. • Briefings in Bioinformatics
(2006)
This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochast...
OPENALEX
Open Access
DOI: https://doi.org/10.1093/bib/bbk007