def sentimental():
# creating object of TwitterClient Class
hashtag = request.query['hashtag']
api = TwitterClient()
# calling function to get tweets
people = {}
tweets = api.get_tweets(query='#' + hashtag, count=10)
# picking positive tweets from tweets
positive_tweets = [
tweet for tweet in tweets if tweet['sentiment'] == 'positive'
]
# percentage of positive tweets
positive = 100 * len(positive_tweets) / len(tweets)
# picking negative tweets from tweets
negative_tweets = [
tweet for tweet in tweets if tweet['sentiment'] == 'negative'
]
# percentage of negative tweets
negative = 100 * len(negative_tweets) / len(tweets)
# percentage of neutral tweets
neutral = 100 * (len(tweets) - len(negative_tweets) -
len(positive_tweets)) / len(tweets)
data = {
"parsed_tweets": len(tweets),
"positive": positive,
"negative": negative,
"neutral": neutral,
"tweets": tweets,
}
response.content_type = 'application/json'
return json.dumps(data)
def search():
api = TwitterClient()
q = request.args.get('q')
# calling function to get tweets
tweets = api.get_tweets(query=q, count=200)
# picking positive tweets from tweets
ptweets = [tweet for tweet in tweets if tweet['sentiment'] == 'positive']
positive = round(100 * len(ptweets) / len(tweets), 4)
# picking negative tweets from tweets
ntweets = [tweet for tweet in tweets if tweet['sentiment'] == 'negative']
negative = round(100 * len(ntweets) / len(tweets), 4)
# percentage of neutral tweets
neutral = round(
100 * (len(tweets) - len(ntweets) - len(ptweets)) / len(tweets), 4)
return render_template('index.html',
has_results=True,
positive=positive,
negative=negative,
neutral=neutral,
q=q,
ptweets=random.sample(ptweets, 3),
ntweets=random.sample(ntweets, 3))