from imdbpie import Imdb
from nltk.sentiment.vader import SentimentIntensityAnalyzer
imdb = Imdb()
sentIA = SentimentIntensityAnalyzer()
popular_movies = imdb.popular_movies()
movies = []
class Movie:
"""represents a movie object"""
def populate_movies():
"""populate the movies array with information on each popular new movie"""
for i in range(len(popular_movies)):
movie_obj = popular_movies[i]['object']
new_movie = Movie()
new_movie.id = movie_obj['tconst']
new_movie.title = movie_obj['title']
new_movie.reviews = imdb.get_title_reviews(new_movie.id,
max_results=25)
new_movie.sentiment = analyze_reviews_sentiment(new_movie)
movies.append(new_movie)
def analyze_reviews_sentiment(film):
"""return the result of a sentiment analysis on a movie's reviews"""
review = "No reviews yet"
if film.reviews is None: