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Text Mining in Big Data Analytics [PDF]

open access: yesBig Data and Cognitive Computing, 2020
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data.
Hossein Hassani   +4 more
doaj   +5 more sources

CrossRef Text and Data Mining Services [PDF]

open access: yesInsights: The UKSG Journal, 2015
The discipline of text and data mining (TDM) is growing in visibility in the scholarly research community. In May 2014, CrossRef launched CrossRef Text and Data Mining Services, which aims to alleviate the issues that text mining researchers encounter ...
Rachael Lammey
doaj   +5 more sources

Text and data mining for biomedical discovery. [PDF]

open access: yesPac Symp Biocomput, 2013
The biggest challenge for text and data mining is to truly impact the biomedical discovery process, enabling scientists to generate novel hypothesis to address the most crucial questions. Among a number of worthy submissions, we have selected six papers that exemplify advances in text and data mining methods that have a demonstrated impact on a wide ...
Gonzalez G   +7 more
europepmc   +4 more sources

A literature review of “lawful” text and data mining. [version 2; peer review: 1 approved, 2 approved with reservations] [PDF]

open access: yesOpen Research Europe
Text and data mining (TDM) is a process, typically automated, that looks for patterns in data that may otherwise remain unnoticed. In a world where data driven solutions play a progressively more important role, TDM has become a vital tool in sectors ...
Giorgos Vrakas
doaj   +2 more sources

Applications of text mining in services management: A systematic literature review

open access: yesInternational Journal of Information Management Data Insights, 2021
The importance of text mining is increasing in services management as the access to big data is increasing across digital platforms enabling such services.
Sunil Kumar   +2 more
doaj   +3 more sources

Opportunities and risks of disaster data from social media: a systematic review of incident information [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2021
Compiling and disseminating information about incidents and disasters are key to disaster management and relief. But due to inherent limitations of the acquisition process, the required information is often incomplete or missing altogether. To fill these
M. Wiegmann   +6 more
doaj   +1 more source

Copyright law and text and data mining [PDF]

open access: yesZbornik Radova Pravnog Fakulteta u Nišu, 2021
Digital environment poses new challenges to the traditional concept of copyright protection. Digital copies of works, new forms of exploitation of copyrighted goods, the impossibility of adequate enforcement of intellectual property rights on the ...
Ivanović Svjetlana
doaj   +1 more source

Joint statement by CETAF, SPNHC and BHL on DATA within scientific publications: clarification of [non]copyrightability [PDF]

open access: yesResearch Ideas and Outcomes, 2023
The EU and other states have made legislative efforts to clarify data mining in copyrightable works, but the situation remains obscure and confusing, especially in a globalised field where international legislation can contribute to opacity.
Laurence Benichou   +7 more
doaj   +3 more sources

Mining publication papers via text mining Evaluation and Results [PDF]

open access: yesInternational Journal of Intelligent Computing and Information Sciences, 2021
Data nowadays is the language of technologies as every process needs a data to be processed the input is data and the output also is data. Analyzing the data is a significant task especially with the increasing production of the data particularly data as
ahmed saeed, Mostafa Aref, sally Saad
doaj   +1 more source

Classifying protein-protein interaction articles from biomedical literature using many relevant features and context-free grammar

open access: yesJournal of King Saud University: Computer and Information Sciences, 2020
Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar   +2 more
doaj   +1 more source

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