Sentiment Analysis From tweeter

Sentiment Analysis  : Understanding and Extracting Feelings From Data

An API lets you access an apps functionality from your code


Note  : go to tweeter developer and generate secrete key , secrete access key,
access token key , and access secrate token key

TextBlob is awesome for NLP task

pip install tweepy
pip install textblob 

import tweepy
from textblob import TextBlob
c_k="ZTLY86W4SB7x8f5AsDrTYcIDG"c_s="n4dWcwOYz19XS7FGRKWJt45jumtdHhw7njbKU64r3C0sMmAj8W"a_t="497554636-3fXu3jG70a8P4sICR88Dnr8TYmMEKQn3LDVM6jiE"a_t_s="GPfOWs5WH5cTWmUQs4O1BRPy3LPwkbFhmhtOABdjLZDEc"auth=tweepy.OAuthHandler(c_k , c_s)
auth.set_access_token(a_t, a_t_s)
api = tweepy.API(auth)
public_tweets = api.search("Amit Shah")
for tweet in public_tweets:
    print(tweet.text)
    analysis=TextBlob(tweet.text)
    print(analysis.sentiment)