Fast sentiment analysis for the Black Speech of Mordor as given in the works of J. R. R. Tolkien in his Middle-earth mythos. Works for both the ancient mode of Black Speech as used by Sauron and the Nazgûl, and the 'debased' Orkish form used by the soldiery.
Robustness has been sacrificed for speed, and so it is to be noted that the classifier is, being so specialised, likely to return spurious results if it is fed non-Black Speech text. I leave the determining of the input string as genuine Black Speech as an exercise for the interested.
Get in touch: Stephen B. Murray sbm199@gmail.com
Copyright 2013 Stephen B. Murray
Distributed under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
You should have received a copy of the GNU General Public License along with this package. If not, see http://www.gnu.org/licenses/
FAQs
Fast sentiment analysis for Tolkien's Black Speech of Mordor.
We found that BlackSentiments demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.
Security News
NVD’s backlog surpasses 20,000 CVEs as analysis slows and NIST announces new system updates to address ongoing delays.
