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Downloading Shakespeare
SHA256 checksum (shakespeare_21.tgz) 4eef9dbc04dfecc8a502cd45554cc57264d84dbb18ec2bb9234fa2fc09b792da SHA256 checksum (shakespeare_10.tgz) ba9f51b4bac3c263e8a7722bc60a4f288094d37c58a5cb61b7646ade12817358
To install your download
For instructions specific to your download, click the Details tab after closing this window.
To install apps and add-ons from within Splunk Enterprise
  1. Log into Splunk Enterprise.
  2. On the Apps menu, click Manage Apps.
  3. Click Install app from file.
  4. In the Upload app window, click Choose File.
  5. Locate the .tar.gz file you just downloaded, and then click Open or Choose.
  6. Click Upload.
  7. Click Restart Splunk, and then confirm that you want to restart.
To install apps and add-ons directly into Splunk Enterprise
  1. Put the downloaded file in the $SPLUNK_HOME/etc/apps directory.
  2. Untar and ungzip your app or add-on, using a tool like tar -xvf (on *nix) or WinZip (on Windows).
  3. Restart Splunk.
After you install a Splunk app, you will find it on Splunk Home. If you have questions or need more information, see Manage app and add-on objects.

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Admins: Please read about Splunk Enterprise 8.0 and the Python 2.7 end-of-life changes and impact on apps and upgradeshere.
While I was having a few pints with my colleagues they said:

"We get that Splunk can analyze machine data, but show how it handles other things."

"What do you really want to see?"

"Index all of Shakespeare's works and tell me how many times 'Alas, poor ...' is used."

Luckily, "The Complete Works of William Shakespeare by William Shakespeare" has already been put into a single text document via Project Gutenberg - http://www.gutenberg.org/ebooks/100. Getting that data into Splunk is easy.

This Splunk App simply indexes that data and analyzes the text. It will create a Shakespeare index for this. It also provides the means to read all of Shakespeare's works in Splunk! =)

For extra fun, I combined several "potentially offensive" word lists and compare them with each one of Shakespeare's works.

While this is all for fun, you can reuse these analytics techniques on any data - both machine data and text created by humans.

Release Notes

Version 2.1
Sept. 25, 2016

Added word cloud visualization and fixed a search problem for "Alas, poor" ...

Version 1.0
Nov. 4, 2015


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