Results 41 to 50 of about 73,896 (143)

Text mining brain imaging reports

open access: yesJournal of Biomedical Semantics, 2019
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
doaj   +1 more source

A Survey of the Applications of Text Mining for the Food Domain

open access: yesAlgorithms
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
doaj   +1 more source

Text Mining for Protein Docking.

open access: yesPLoS Computational Biology, 2015
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
doaj   +1 more source

Monitoring interaction and collective text production through text mining [PDF]

open access: yesETD: Educação Temática Digital, 2014
This article presents the Concepts Network tool, developed using text mining technology. The main objective of this tool is to extract and relate terms of greatest incidence from a text and exhibit the results in the form of a graph.
Macedo, Alexandra Lorandi   +2 more
doaj  

PubRunner: A light-weight framework for updating text mining results [version 2; referees: 1 approved, 2 approved with reservations]

open access: yesF1000Research, 2017
Biomedical text mining promises to assist biologists in quickly navigating the combined knowledge in their domain. This would allow improved understanding of the complex interactions within biological systems and faster hypothesis generation.
Kishore R. Anekalla   +5 more
doaj   +1 more source

Review of the Approaches and Techniques of Text Mining in Clinical Documentation

open access: yesمجله انفورماتیک سلامت و زیست پزشکی, 2018
Introduction: With the extensive use of electronic medical records systems, a large amount of medical text data is produced daily in the hospitals and other medical environments that organizing this text information is important and necessary.
Farzaneh Feizmanesh, Ali Asghar Safaei
doaj  

Using Statistical Properties to Enhance Text Categorization [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2015
Statistical properties extracted from text are useful in many areas. Knowing who authored some text or knowing the category of a text is among the uses of collecting such statistics.
Rached Zantout, Ziad Osman
doaj  

Text Mining Infrastructure in R

open access: yesJournal of Statistical Software, 2008
During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R.
Kurt Hornik, Ingo Feinerer, David Meyer
doaj  

Text Mining YouTube Comment Data with Wordfish in R

open access: yesThe Programming Historian
In this lesson, you will learn how to download YouTube video comments and use the R programming language to analyze the dataset with Wordfish, an algorithm designed to identify opposing ideological perspectives within a corpus.
Alex Wermer-Colan   +2 more
doaj   +1 more source

Text Mining in Python through the HTRC Feature Reader

open access: yesThe Programming Historian, 2016
We introduce a toolkit for working with the 13.6 million volume Extracted Features Dataset from the HathiTrust Research Center. You will learn how to peer at the words and trends of any book in the collection, while developing broadly useful Python data ...
Peter Organisciak, Boris Capitanu
doaj  

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