EmotionDetection

EmotionDetection.py

#tweepy framework library for fetching tweets
import tweepy

#textblob to analyse text
from textblob import TextBlob

#importing sys to take arguments from user at runtime
import sys
 
#search term
search_term = str(sys.argv[1])

# keys and tokens from the Twitter Dev Console
consumer_key = 'CRpwRAQstBnS2wvn9LTTStSdk'
consumer_secret = 'BRE3OZIAKkUI3jy1lNGBfjVcPiKmiLfmsfmBzW9BfXTmvOxU7F'
access_token = '1078866367-u9EDOMFeDeipYVqEWinqsnBBmCqITOXmlU27HIv'
access_secret = '0zxFAe6E5yldd6BgJKeNb6k8kpyf6SbPkxrYL0aJrnSQM'

#Authorization for tweepy to bring tweets from twitter
auth = tweepy.OAuthHandler(consumer_key,consumer_secret)
auth.set_access_token(access_token,access_secret)

api = tweepy.API(auth)

#store tweets in variable public_tweets
public_tweets = api.search("%s" % search_term)

#display each tweet separately
for tweet in public_tweets:
    print(tweet.text)
    analysis = TextBlob(tweet.text)
    print ("\n")
    print (analysis.sentiment)
    print ("\n")