January 2016
Intermediate to advanced
337 pages
11h 50m
English
Content preview from Text Mining and Visualization
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290 Text Mining and Visualization: Case Studies Using Open-Source Tools
for example, we could have pruned our initial graph not only according to the frequency of
the corresponding tags, but also according to the edge weights (which are also based on a
frequency measure). That way, we would have ended with a more clustered and less densely
connected graph, with a higher enough diameter and average path length. We chose not to
do so mainly in order to fully demonstrate the capabilities of the Infomap algorithm even
in such a dense graph, since the community detection is definitely easier for a graph that
possesses already some clustering on its own. ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.