B-Movie Text Generator

Motivation

One of my fond memories of a bygone era was visiting the local video store, the now ancient Video Ezy, to pick up a movie with my friends. We would go to each others houses and have a movie marathon and watch all types of films. Some good, some bad.

Over the years we all naturally became avid cinephiles. Analysing films while watching them became a favourite pastime and surprisingly, the bad films had plenty of (hilarious) things to analyse. What followed was uncovering a giant underground cult following of all things bad.

One particularly brilliant medium that explored this sub-genre of movie, was the podcast How Did This Get Made.

How Did This Get Made? is a podcast on the Earwolf network. It is hosted by Paul Scheer, June Diane Raphael and Jason Mantzoukas. Each episode, which typically has a different guest, features the deconstruction and mockery of outlandish and bad films.

After listening to this podcast religiously, me and my friends decided, why not create our own corpus of bad movies. So the bad movie club is born, and 200+ movies later a rather interesting (to me at least) dataset is produced.

I've always had the idea to create a data science project from our long and silly list, so here it is.

source: https://github.com/kostyafarber/b-movie-text-generator