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Text Mining and Visualization
book

Text Mining and Visualization

by Markus Hofmann, Andrew Chisholm
January 2016
Intermediate to advanced
337 pages
11h 50m
English
Chapman and Hall/CRC
Content preview from Text Mining and Visualization
Empirical Analysis of the Stack Overflow Tags Network 285
The results are shown in Figure 12.5. We can confirm, for example, that the presence
of latex in the “R” community is indeed not spurious, as the subject node is strongly
connected with both knitr and markdown, although our initial speculation for its relation
also to shiny turns out to be incorrect.
We can easily extend the above rationale in order to examine closer the relationship
between two or more communities, as long as we limit the investigation to relatively small
communities (remember our 100-node max rule of thumb for visualizations). Say we would
like to see how the “Big Data” and
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Publisher Resources

ISBN: 9781482237580