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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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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 the History of Medicine
Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner.
Thompson, Paul +8 more
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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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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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Text mining brain imaging reports
Background With the improvements to text mining technology and the availability of large unstructured Electronic Healthcare Records (EHR) datasets, it is now possible to extract structured information from raw text contained within EHR at reasonably high
Beatrice Alex +5 more
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A Survey of the Applications of Text Mining for the Food Domain
In the food domain, text mining techniques are extensively employed to derive valuable insights from large volumes of text data, facilitating applications such as aiding food recalls, offering personalized recipes, and reinforcing food safety regulation.
Shufeng Xiong +4 more
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Text Mining for Protein Docking.
The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling.
Varsha D Badal +2 more
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