NLP in Python

NLP in Python

#importing tweeter library  and textblob
import tweepy
from textblob import TextBlob

#making connection with twitter
consumer_key='vBsuS1MZU1HZkcEZCF1X3RcN1'
consumer_secret='BlK6sqtAxPrDWcohheZ3WleCsdzV68oilt6sHM122FfrU5gDj9'
access_token='2840514410-tvwxQYYIk3WBBpALt2EnPJiSiro6oQjEk6HHPrt'
access_token_secret='AdgQONrI4VpM88g6g2AZvlVAlGNwteSOYh0lBZ6Q8rd45'

auth=tweepy.OAuthHandler(consumer_key,consumer_secret)
auth.set_access_token(access_token,access_token_secret)

api=tweepy.API(auth)
public_tweets=api.search('Trump')
text_list=[]
sentiment_list=[]


for tweet in public_tweets:
    text_list.append(tweet.text)
    print(tweet.text)
    analysis=TextBlob(tweet.text)
    print(analysis.sentiment)
    sentiment_list.append(analysis.sentiment)

#Saving Result in CSV

import csv
with open('text.csv','w') as f:
    writer=csv.writer(f,delimiter='\t')
    writer.writerows(zip(text_list,sentiment_list))