def post(self):
query_string = self.request.body_arguments.get('query')
query = TwitterSearchOrder()
query.set_keywords(query_string)
query.set_language('en')
query.set_include_entities(False)
results = TwitterClient.search_tweets(query)
tweets = [tweet['text'] for tweet in results['content']['statuses']]
tweet_results = indicoio.batch_text_tags(tweets)
n_tweets = float(len(tweet_results))
scores = defaultdict(float)
for tweet in tweet_results:
for category, score in tweet.items():
scores[category] += score / n_tweets
category = max(scores, key=lambda x: scores[x])
data = {
'scores': scores,
'category': category
}
self.write(json.dumps(data))
def post(self):
query_string = self.request.body_arguments.get('query')
query = TwitterSearchOrder()
query.set_keywords(query_string)
query.set_language('en')
query.set_include_entities(False)
results = TwitterClient.search_tweets(query)
tweets = [tweet['text'] for tweet in results['content']['statuses']]
tweet_results = indicoio.batch_text_tags(tweets)
n_tweets = float(len(tweet_results))
scores = defaultdict(float)
for tweet in tweet_results:
for category, score in tweet.items():
scores[category] += score / n_tweets
category = max(scores, key=lambda x: scores[x])
data = {'scores': scores, 'category': category}
self.write(json.dumps(data))
def post(self):
query_string = self.request.body_arguments.get('query')
query = TwitterSearchOrder()
query.set_keywords(query_string)
query.set_language('en')
query.set_include_entities(False)
results = TwitterClient.search_tweets(query)
tweets = [tweet['text'] for tweet in results['content']['statuses']]
sentiment = indicoio.batch_sentiment(tweets)
pairs = sorted(zip(sentiment, tweets))
n_tweets = float(len(pairs))
top_n = 5
most_negative = pairs[:top_n]
most_positive = list(reversed(pairs[-top_n:]))
data = {
'most_positive': most_positive,
'most_negative': most_negative,
'average': sum(sentiment)/n_tweets
}
self.write(json.dumps(data))
def post(self):
query_string = self.request.body_arguments.get('query')
query = TwitterSearchOrder()
query.set_keywords(query_string)
query.set_language('en')
query.set_include_entities(False)
results = TwitterClient.search_tweets(query)
tweets = [tweet['text'] for tweet in results['content']['statuses']]
sentiment = indicoio.batch_sentiment(tweets)
pairs = sorted(zip(sentiment, tweets))
n_tweets = float(len(pairs))
top_n = 5
most_negative = pairs[:top_n]
most_positive = list(reversed(pairs[-top_n:]))
data = {
'most_positive': most_positive,
'most_negative': most_negative,
'average': sum(sentiment) / n_tweets
}
self.write(json.dumps(data))
from collections import defaultdict
from TwitterSearch import TwitterSearchOrder
import indicoio
from pprint import pprint
from twitter_demo.twitter import TwitterClient
import twitter_demo.settings as settings
indicoio.config.api_key = "2e559e40a6ebea9dddb39e753363f6e1"
query_string = sys.argv[1:]
query = TwitterSearchOrder()
query.set_keywords(query_string)
query.set_language('en')
query.set_include_entities(False)
results = TwitterClient.search_tweets(query)
#print results['content']['statuses'][0].keys()
#tweets = [tweet['text'] for tweet in results['content']['statuses']]
tweets = []
for tweet in results['content']['statuses']:
data = {'tweet_id': tweet['id_str'], 'tweet_text': tweet['text']}
req = urllib2.Request('http://45.33.90.42:5000/insert_data')
req.add_header('Content-Type', 'application/json')
response = urllib2.urlopen(req, json.dumps(data))
tweets.append(data)
sentiment = indicoio.batch_sentiment(tweets)
pairs = sorted(zip(sentiment, tweets))
