a n-gram markov chatbot that can keep track of it's internal probability transition table
/planning- contains files illustrating the outline of the program and future design ideas/issues
nltk pymongo bs4 (BeautifulSoup) MongoHQ instance
Use MongoDB to store Markov chain data/political speeches (done) Each time we analyze a new political speech, update the transition probabilities in Mongo and add a new "Speech" document (done) Put each politician/radio host bot on a spectrum based on their opinions Uses (potential final products): -Rush Limbot (generate new speeches in the style of a politician/radio host) -Have the bots complete a sentence (e.g. Rush Limbot: "I think Obama is ___") -Edit existing speeches in the style of a certain politician (e.g. make "Mitt Romney" version of an Obama speech) -Arguer that retorts things you say (or agrees with you) based on their opinions -Have each bot generate new words (combinations of other words) that have negative connotations of their opponents, explaining what their new word means (e.g. "sounds like ____") -Rate opinions/sayings of bots (like or dislike)