Created
June 25, 2019 12:41
-
-
Save gaphex/a43b377955d472a3f39d2dbaeff9baf2 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import pandas as pd | |
| import json | |
| !wget http://www.cs.cmu.edu/~ark/personas/data/MovieSummaries.tar.gz | |
| !tar -xvzf MovieSummaries.tar.gz | |
| plots_df = pd.read_csv('MovieSummaries/plot_summaries.txt', sep='\t', header=None) | |
| meta_df = pd.read_csv('MovieSummaries/movie.metadata.tsv', sep='\t', header=None) | |
| plot = {} | |
| metadata = {} | |
| movie_data = {} | |
| for movie_id, movie_plot in plots_df.values: | |
| plot[movie_id] = movie_plot | |
| for movie_id, movie_name, movie_genre in meta_df[[0,2,8]].values: | |
| genre = list(json.loads(movie_genre).values()) | |
| if len(genre): | |
| metadata[movie_id] = {"name": movie_name, | |
| "genre": genre} | |
| for movie_id in set(plot.keys())&set(metadata.keys()): | |
| movie_data[metadata[movie_id]['name']] = {"genre": metadata[movie_id]['genre'], | |
| "plot": plot[movie_id]} | |
| X, Y, names = [], [], [] | |
| for movie_name, movie_meta in movie_data.items(): | |
| X.append(movie_meta['plot']) | |
| Y.append(movie_meta['genre']) | |
| names.append(movie_name) | |
| X = bert_vectorizer(X, verbose=True) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment