Predictions.py

import feedparser

potential_posts = {}
for url in ['https://feeds.feedburner.com/CoinDesk', 'http://newsrss.bbc.co.uk/rss/newsonline_uk_edition/technology/rss.xml','http://i.perezhilton.com/?feed=rss2']:

    feed = feedparser.parse(url)
    for article in feed.entries:
        sentence = prepareSentence(article.title)
        bag = toBOW(sentence, final_words)
        potential_posts[article.title] = nnet.predict([bag])[0]
    

x = sorted(potential_posts.items(), key=itemgetter(1), reverse=True)

print("Top posts")
for i in x[:5]:
    print(i)
    
x = sorted(potential_posts.items(), key=itemgetter(1), reverse=False)
    
print("Bottom posts")
for i in x[:5]:
    print(i)