Turing Tweets

This project is designed to parse in all the tweets from a specific user and use NLP to generate a new, fake tweet. The tweet will then be displayed alongside a real tweet on a web page, and the user will be prompted to choose which one they believe is real. Once they make a selection, the correct answer and the incorrect answer are appropriately highlighted. Stretch goals include: tweeting out those tweets which succeed in stumping a user, adding some level of machine deep learning, and caching stumpers IOT tweet out only the highest success rate stumpers.

Authors:

• James Feore ([email protected])
• David Lim
• Miguel Pena
• Elyanil Castro

Progress:

June 4, 2017 Repository created and initial frameworking completed.

Routes:

• TBD

Set Up and Installation:

• Clone this repository to your local machine.
• Change directory into "turingtweets"
• "pip install -e ."
• "python -m nltk.downloader all"

To Test

$ cd turingtweets/
$ pip install -e .
$ pip install -e .[testing]
$ tox