Using Manual and Computer-Based Text-Mining to Uncover Research Trends for <i>Apis mellifera</i>

Using Manual and Computer-Based Text-Mining to Uncover Research Trends for <i>Apis mellifera</i>

Honey bee research is believed to be influenced dramatically by colony collapse disorder (CCD) and the sequenced genome release in 2006, but this assertion has never been tested. By employing text-mining approaches, research trends were tested by analyzing over 14,000 publications during the period...

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Bibliographic Details
Main Authors: Esmaeil Amiri, Prashant Waiker, Olav Rueppell, Prashanti Manda
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Veterinary Sciences
Subjects:
text-mining
topic modeling
colony collapse disorder
genomics
<i>Varroa</i> mite
honey bee health
Online Access:https://www.mdpi.com/2306-7381/7/2/61

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