Twitter Sentiment Analysis

This is the code for twitter sentiment analysis using tweepy library and twitter API.

In [49]:

import quandl
import tweepy
import sklearn
import time
import matplotlib.pyplot as plt
from textblob import TextBlob
%matplotlib notebook
import pandas as pd

In [27]:

#w = TextBlob("i am feeling amazing")
#w.sentiment.polarity

In [2]:

cons_key='your key'
cons_sec = 'secret key'
acc_token='token key'
acc_sec = 'secret string'
auth = tweepy.OAuthHandler(cons_key,cons_sec)
auth.set_access_token(acc_token,acc_sec)
api = tweepy.API(auth)

In [73]:

#search for keyword and put in file
tweets = api.search(q="modi",count = 100,rpp = 1500)
l = []
for t in tweets:
    l.append(t.text)
df= pd.DataFrame(l,columns=['text'])
df.to_csv('D:/ai ml/data/modi.txt')

In [74]:

#sentiment analysis with graph
fig = plt.figure()
ax = fig.add_subplot(111)
fig.show()
i = 1
x,y = [],[]
for t in tweets:
    #print(t.text)
    a = TextBlob(t.text)
    #print(a.sentiment.polarity)
    #print(a.sentiment)
    pol = a.sentiment.polarity
    x.append(i)
    y.append(pol)
    ax.plot(x,y,color = 'g')
    fig.canvas.draw()
    time.sleep(1)
    i = i+1

---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
<ipython-input-74-e7d533bc999f> in <module>
     14     ax.plot(x,y,color = 'g')
     15     fig.canvas.draw()
---> 16     time.sleep(1)
     17     i = i+1

KeyboardInterrupt: 

In [ ]:

tweets = api.home_timeline()
for tweet in tweets:
    print (tweet.text)

In [88]:

#live follower
i = 1
fig = plt.figure()
ax = fig.add_subplot(111)
fig.show()
x,y = [],[]
while i<50:
    user = api.get_user('narendramodi')
    c = user.followers_count
    x.append(i)
    y.append(c)
    ax.plot(x,y,color = 'g')
    fig.canvas.draw()
    print(c)
    time.sleep(1)
    i = i+1

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In [4]:

#redirect_user = auth.get_authorization_url()
#redirect_user

In [3]:

#api.user_timeline(id="rohitsinghsking")

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