def seed_tweets(query, starting_max_id, ending_max_id, count, number_of_queries):
positive_tweets = 790178
negative_tweets = 788437
id_range = ending_max_id - starting_max_id
iteration = id_range // number_of_queries
for x in range(number_of_queries):
twitter = Twython(APP_KEY, APP_SECRET)
search = twitter.search(q=query, max_id=starting_max_id, count=count)
tweets = search['statuses']
for tweet in tweets:
for candidate in candidate_list:
if candidate in tweet['text']:
try:
formatted_timestamp = time.strftime('%Y-%m-%d %H:%M:%S', time.strptime(tweet['created_at'],'%a %b %d %H:%M:%S +0000 %Y'))
bayes_score = bayes_analysis(tweet['text'], positive_tweets, negative_tweets)
tweet_object = Tweet(text =tweet['text'], date=formatted_timestamp, query_string=query, candidate=candidate, score=bayes_score)
tweet_object.save()
except:
continue
starting_max_id += iteration
# from sentiment.secret import * (pull in API credentials)
from twython import Twython
from sentiment.models import Tweet
import time
from sentiment.bayes import bayes_analysis, training_model
candidate_list = ["Trump", "Bush", "Walker", "Huckabee", "Carson", "Cruz", "Rubio", "Paul", "Christie", "Kasich"]
bayes_analysis("hello",2,1)
def seed_tweets(query, starting_max_id, ending_max_id, count, number_of_queries):
positive_tweets = 790178
negative_tweets = 788437
id_range = ending_max_id - starting_max_id
iteration = id_range // number_of_queries
for x in range(number_of_queries):
twitter = Twython(APP_KEY, APP_SECRET)
search = twitter.search(q=query, max_id=starting_max_id, count=count)
tweets = search['statuses']
for tweet in tweets:
for candidate in candidate_list:
if candidate in tweet['text']:
try:
formatted_timestamp = time.strftime('%Y-%m-%d %H:%M:%S', time.strptime(tweet['created_at'],'%a %b %d %H:%M:%S +0000 %Y'))
bayes_score = bayes_analysis(tweet['text'], positive_tweets, negative_tweets)
tweet_object = Tweet(text =tweet['text'], date=formatted_timestamp, query_string=query, candidate=candidate, score=bayes_score)
tweet_object.save()
except:
continue
