Results 41 to 50 of about 3,437,889 (360)
R&D Management, 2020 Unstructured data in the form of digitized text is rapidly increasing in volume, accessibility, and relevance for research on innovation and beyond. While traditional attempts to analyze text (i.e., qualitative analysis) are limited in processing large ...
David Antons +3 more
semanticscholar +1 more source
Twitter and Research: A Systematic Literature Review Through Text Mining
IEEE Access, 2020 Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers.
A. Karami +3 more
semanticscholar +1 more source
Text Mining for Supply Chain Risk Management in the Apparel Industry
Applied Sciences, 2021 Text mining tools are now widely used for the efficient management of information and resources in business, academic and research organizations.
Sayed Mehdi Shah +2 more
doaj +1 more source
Wellcome Open Research, 2017 The tremendous growth in biological data has resulted in an increase in the number of research papers being published. This presents a great challenge for scientists in searching and assimilating facts described in those papers.
Aravind Venkatesan +9 more
doaj +1 more source
Topic Map Generation Using Text Mining [PDF]
, 2002 Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool.
Böhm, Karsten +3 more
core +2 more sources
Utilization of text mining as a big data analysis tool for food science and nutrition.
Comprehensive Reviews in Food Science and Food Safety, 2020 Big data analysis has found applications in many industries due to its ability to turn huge amounts of data into insights for informed business and operational decisions.
Dandan Tao, Pengkun Yang, H. Feng
semanticscholar +1 more source
Systematic Reviews, 2019 Background Here, we outline a method of applying existing machine learning (ML) approaches to aid citation screening in an on-going broad and shallow systematic review of preclinical animal studies.
Alexandra Bannach-Brown +6 more
doaj +1 more source
Improving Laboratories Efficiency through Website Using Text Mining [PDF]
Engineering and Technology Journal, 2013 Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis.
Abeer Tariq
doaj +1 more source
Text mining approaches for dealing with the rapidly expanding literature on COVID-19
Briefings Bioinform., 2020 More than 50 000 papers have been published about COVID-19 since the beginning of 2020 and several hundred new papers continue to be published every day.
Lucy Lu Wang, Kyle Lo
semanticscholar +1 more source
Informatics in Medicine Unlocked, 2018 Salmonella typhi are Gram-negative pathogen causes severe systemic infections like typhoid fever and gastrointestinal disease in humans. PgtE belongs to Omptin family, plays a central role at the host-pathogen interface. In the present study, S.
Gopinath Samykannu +2 more
doaj +1 more source