def _populate(self, tweets):
"""
:param tweets: A python dictionary containing trends as keys and list of tweets as
values against each trend.
:return: None
This is a private method used by the constructor to populate the inverted index object
"""
for trendName in tweets:
self.trends.append(trendName)
self.totalTweets += len(tweets[trendName])
# classify trend
tweetsDoc = " ".join([tweet.text for tweet in tweets[trendName]])
model = NaiveBayes()
model.loadModelFromDB()
self.categories.append(model.classify(tweetsDoc))
for tweet in tweets[trendName]:
if tweet.user.screen_name not in self.twitterHandles:
self.twitterHandles.append(tweet.user.screen_name)
posts = [(self.trends.index(trendName), tweet)]
self.indexLists.append(posts)
else:
posts = self.indexLists[self.twitterHandles.index(
tweet.user.screen_name)]
posts.append((self.trends.index(trendName), tweet))
self.logger.debug(
'Created and populated Inverted Index: Trends-{}, Tweets-{}'.
format(len(self.trends), self.totalTweets))
