This is a demonstration on how to use sklearn's NLTK to process a corpus of movie titles. Then, using cosine similarity scoring to find the closes movie title to a new string of text.
This includes:
- NLTP-to-Find-Movies.ipynb : a python notebook
- movie.csv : a subset of movielens' movie data
- Use-NLP-to-Solve-Business-Problems.pdf : a presentation given at the Python Data Science meetup