Natural_Language_Processing_Sentiment_Optimizer: A Python repository from aselya

Got into a shakesperean name calling contest with a few friends and I figured this would be
a fun way of using my knowledge of NLP to amuse my friends. Using the set list of base set terms 
of shakespearean terms, this program calls the google natural language api and returns the 
sentiment and magnitude scores of the strings passed to the API. It then uses an implementation
of the genetic algorithm to find the most insulting terms.

If you want to try out the program for yourself, running the build_env.py file will create
a virtual enviornment, install the needed packages and run the main algorithm. Prior to 
doing so you will need to create an account on google cloud to obtain the needed certifications
as well as update the path strings in the file.

Sample Output:

############FINAL GENERATION: 11
Thou art a tottering hell-hated minnow     |fitness score:-22.0
Thou art a tottering doghearted giglet     |fitness score:-22.0
Thou art a tottering hell-hated giglet     |fitness score:-22.0
Thou art a tottering doghearted codpiece     |fitness score:-22.0
Thou art a tottering doghearted giglet     |fitness score:0.0
Thou art a tottering hell-hated giglet     |fitness score:0.0
Thou art a wayward rump-fed giglet     |fitness score:0.0
Thou art a tottering pottle-deep giglet     |fitness score:8.0
Thou art a tottering dread-bolted pignut     |fitness score:8.0
Thou art a tottering hell-hated minnow     |fitness score:8.0
Thou art a tottering doghearted giglet     |fitness score:10.0
Thou art a gleeking doghearted harpy     |fitness score:18.0
Thou art a tottering hell-hated minnow     |fitness score:18.0
Thou art a tottering hell-hated foot-licker     |fitness score:32.0
Thou art a tottering doghearted giglet     |fitness score:50.0
aselya/Natural_Language_Processing_Sentiment_Optimizer
