ml-lab / movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 2016

movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 20 May 2016.

See slides for the narrative.

Setting Up

Make sure you have Python 3.

• Clone this repository

git clone https://github.com/RaRe-Technologies/movie-plots-by-genre.git

if you don't have git you can also download a zip of this repo https://github.com/RaRe-Technologies/movie-plots-by-genre/archive/master.zip

• Install virtualenv

(sudo) pip install virtualenv

• Create a virtual env and install all the requirements.

cd movie-plots-by-genre/
virtualenv gensim # if you have both python2 and python3 then use virtualenv -p python3 gensim
source gensim/bin/activate
pip3 install cython gensim sklearn pandas matplotlib nltk pyemd jupyter

NOTE:On OSX you might want to download pyemd from github and install it via python3 setup.py install.

• Download Google News pre-trained word2vec model (1.5 Gb) from here

• Download nltk data

python -m nltk.downloader punkt

• Fire up a jupyter notebook

jupyter notebook

If you are short on bandwidth then you will be able to follow most of the tutorial just with these libraries:

• Python 3
• pip3 install cython gensim sklearn pandas matplotlib nltk pyemd jupyter
• python -m nltk.downloader punkt