Results 31 to 40 of about 73,896 (143)
Ubiquitous growth in the text mining field is unprecedented, where social media mining is playing a significant role. Gigantic growth of text mining is becoming a potential source of crowd wisdom extraction and analysis especially in terms of text pre ...
Nikolay Sinyak +3 more
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Background Clustered regularly interspaced short palindromic repeats —CRISPR‐associated protein 9 (CRISPR/Cas9) is a gene editing technology that can deliver highly precise genome editing.
Pavithra Nagendran +2 more
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The timely detection and precise classification of brain tumors using techniques such as magnetic resonance imaging (MRI) are imperative for optimizing treatment strategies and improving patient outcomes.
Gowtham Murugesan +2 more
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Review of Survey Research in Fuzzy Approach for Text Mining
Text mining has been a popular research topic in the field of natural language processing. With the emergence of Web 2.0 and the development of social software, the amount of text generated every day has increased dramatically. The texts contain a lot of
Yi-Wei Lai, Mu-Yen Chen
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Identification of Text Mining Use Cases In Manufacturing Companies
Manufacturing companies face the challenge of managing vast amounts of unstructured data generated by various sources such as social media, customer feedback, product reviews, and supplier data. Text-mining technology, a branch of data mining and natural
Clemens, Florian +4 more
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Using Text Mining to Characterize Online Discussion Facilitation
Facilitating class discussions effectively is a critical yet challenging component of instruction, particularly in online environments where student and faculty interaction is limited.
Norma Ming, Eric P.S. Baumer
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Demo: Using RapidMiner for Text Mining
In this demo the basic text mining technologies by using RapidMining have been reviewed. RapidMining basic characteristics and operators of text mining have been described. Text mining example by using Navie Bayes algorithm and process modeling have been
Yordan Shterev
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This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory.
Renata G. Alcoforado +1 more
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Text mining for clinical support
Background: In 2013, the Dahlgren Memorial Library (DML) at the Georgetown University Medical Center began using text mining software to enable its clinical informationists to quickly retrieve specific, relevant information from MEDLINE abstracts while ...
Jonathan Hartmann, Linda Van Keuren
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Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Emerging evidence suggests that gut microbiota plays a crucial role in the development and progression of CRC, with dysbiosis being strongly associated with ...
Sharvari Sawant +3 more
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