Tinderbox
Coding project by Justin Long automates the process of selection for dating app Tinder using facial recognition, customized Eigenfaces (which are algorithmically generated face-like images) and Natural Language Processing (NLP) for conversations.
TL;DR version = bot screening dating:
While my friends were getting sucked into “swiping” all day on their phones with Tinder, I eventually got fed up and designed a piece of software that automates everything on Tinder.
… It wasn’t my intention to “one-up” the competition, but using the facial recognition algorithm Eigenfaces I built a bot that learns when to swipe right (like a person) AND swipe left (dislike a person) AND start your conversations.
… The bot that runs in the background also has a messaging system that starts conversations. Using StanfordNLP, the bot analyzes the sentiment of each chat response and classifies it as positive or negative. Using a “message tree” (see diagram below), the bot selects from pre-programmed chat messages as a response based on the sender’s sentiment. This continues up to 3 replies until the user is notified that a chat is ready to enter. The advantage of this? It removes the time involved in filtering new Tinder matches since a lot of people tend to drop off and “go dark” early in the process. Extended conversation is a strong indicator of interest.You can find out more here
When do u tell ur gf u programmed a robot to romance her and hundreds of other ladies in order to spare you valuable time
(via prostheticknowledge)