osori / good-or-bad

Tells you if a word is good or bad, based on its Wikipedia article

good-or-bad

This is a rude and judgmental python script that judges, based on the word's Wikipedia article, if a word is good or bad. The criteria of good/badness of each word in the article is defined by the positive/negative sentiment word lists from Opinion Lexicon: Positive & Negative (Hu and Liu, 2004).

Built with

• NLTK (Natural Language Toolkit) - a Python library for statistical Natural Language Processing
• wikipedia - a Python library that makes accessing and parsing Wikipedia data easy

Examples

Enter the word: North Korea

[ Result ]
Baaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaad 👎 (Score: -36)

Positive score:  52
Negative score:  109

Our judgmental script tells us that North Korea is baaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaad. Considering the number of a's our script has written, North Korea must be a horribly bad nation!

Now compare it with this:

Enter the word: South Korea

[ Result ]
Goooooooooooood 👍 (Score: 13)

Positive score:  173
Negative score:  160

Of course, as we expected, South Korea = Good Korea .

Any word, if it's on Wikipedia, can be evaluated with this script. Even people, incidents, and so much more!

Enter the word: Donald Trump

[ Result ]
Baaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaad 👎 (Score: -49)
# This guy must be a real douche. He's worse than North Korea!

Positive score:  121
Negative score:  170

Reference

1. Minqing Hu and Bing Liu. "Mining and summarizing customer reviews." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004, full paper), Seattle, Washington, USA, Aug 22-25, 2004.