def load_articles(limit):
for article in articles.find(_limit=limit):
if 'spiegel.de/international' in article['article_url']:
continue
yield {
'url': article['article_url'],
'text': article['body_text'],
'bigrams': list(make_bigrams(article['body_text'])),
'tokens': list(tokenize(article['body_text']))
}
def load_articles(limit):
for article in articles.find(_limit=limit):
if 'spiegel.de/international' in article['article_url']:
continue
yield {
'url': article['article_url'],
'text': article['body_text'],
'bigrams': list(make_bigrams(article['body_text'])),
'tokens': list(tokenize(article['body_text']))
}
def article_terms(model, article):
terms = defaultdict(int)
for token in tokenize(article['body_text']):
terms[token] += 1
total = float(sum(terms.values()))
if total == 0:
return []
max_f = max(terms.values())/total
#print "MAX", max_f, max(terms.values()), terms.values()
tf_idfs = {}
for term, count in terms.items():
tf = 0.5 + ((0.5*(count/total))/max_f)
tf_idfs[term] = tf * model['terms'].get(term, 0)
return sorted(tf_idfs.items(), key=lambda (a, b): b, reverse=True)
def article_terms(model, article):
terms = defaultdict(int)
for token in tokenize(article['body_text']):
terms[token] += 1
total = float(sum(terms.values()))
if total == 0:
return []
max_f = max(terms.values()) / total
#print "MAX", max_f, max(terms.values()), terms.values()
tf_idfs = {}
for term, count in terms.items():
tf = 0.5 + ((0.5 * (count / total)) / max_f)
tf_idfs[term] = tf * model['terms'].get(term, 0)
return sorted(tf_idfs.items(), key=lambda (a, b): b, reverse=True)
