TwitterMining.py

#--------------------------------------Tweets------------------------
import tweepy 

# these key is generated by Twiiter App
consumer_key = "---------------------"
consumer_secret = "--------"
access_key = "-------------"
access_secret = "----------"

# Function to extract tweets 
def get_tweets(username): 

        # Authorization to consumer key and consumer secret 
        auth = tweepy.OAuthHandler(consumer_key, consumer_secret) 

        # Access to user's access key and access secret 
        auth.set_access_token(access_key, access_secret) 

        # Calling api 
        api = tweepy.API(auth) 

        # 200 tweets to be extracted 
        number_of_tweets=200
        tweets = api.user_timeline(screen_name=username) 

        # Empty Array 
        tmp=[] 

        # create array of tweet information: username, 
        # tweet id, date/time, text 
        tweets_for_csv = [tweet.text for tweet in tweets] # CSV file created 
        for j in tweets_for_csv: 

            # Appending tweets to the empty array tmp 
            tmp.append(j) 

        # Printing the tweets 
        print(tmp) 


# Driver code 
if __name__ == '__main__': 

    # Here goes the twitter handle for the user 
    # whose tweets are to be extracted. 
    get_tweets("TSovran") 


# In[3]:


# ----------------------------No of tweets So far----------------
#------------------------------Account Date---------------

# Authorization to consumer key and consumer secret 
auth = tweepy.OAuthHandler(consumer_key, consumer_secret) 

# Access to user's access key and access secret 
auth.set_access_token(access_key, access_secret) 

# Calling api 
api = tweepy.API(auth) 
# the ID of the user0 (my id)
#id = 909474641885855745

# fetching the user 
#user = api.get_user(id) 

# -------or---------------

# the screen name of the user 
screen_name = "TSovran"

# fetching the user 
user = api.get_user(screen_name) 

# fetching the statuses_count attribute 
statuses_count = user.statuses_count 

print("The number of statuses the user has posted are : " + str(statuses_count)) 

#time twitter account is creted
created_at = user.created_at 

print("Twitter Account was created at : " + str(created_at)) 


# In[4]:


# ---------------------------Date when Tweet(Given Status ID) is made---------------

# the ID of the status 
id = 1276210447511764993

# fetching the status 
user = api.get_status(id) 

# fetching the created_at attribute 
created_at = user.created_at 

print("The status was created at : " + str(created_at)) 


# In[5]:


#---------------------Check Whether i like the tweet of anyone whose is is give--------------

# the ID of the status 
id = 1276210447511764993
# fetching the status 
status = api.get_status(id) 
  
# fetching the favorited attribute 
favorited = status.favorited  
  
if favorited == True: 
    print("The authenticated user has liked the tweet.") 
else: 
    print("The authenticated user has not liked the tweet.") 


# In[36]:


#----------------------Accessing the Tweet-------------------------

# the ID of the status 
id = 1276221606335897600
  
# fetching the status 
status = api.get_status(id) 
  
# fetching the text attribute 
text = status.text  
  
print("The text of the status is : \n\n" + text) 


# In[6]:


#----------------------Tweet Source(Android,Iphone,Website) and language-------------------------

# the ID of the status 
id = 1276221606335897600
  
# fetching the status 
status = api.get_status(id) 
  
# fetching the source attribute 
source = status.source  
  
print("The source of the status is : " + source) 

lang = status.lang  
  
print("The language of the status is : " + lang)
#-----------------------------X-----------------X------------------
id = 1273220141417816064
status = api.get_status(id) 
lang = status.lang  
  
print("The language of the status is : " + lang)


# In[37]:



# fetching the trends 
trends = api.trends_available() 

print("Some of the locations are : ") 
for i in range(0, 100, 10): 
    print("Place : " + trends[i]['name'] +
        ", Country : " + trends[i]['country']) 


# In[7]:


#--------------------------------Trending Tweets---------------------

        # Access to user's access key and access secret 
auth.set_access_token(access_key, access_secret) 

        # Calling api 
api = tweepy.API(auth) 
trends1 = api.trends_place(1) # from the end of your code
# trends1 is a list with only one element in it, which is a 
# dict which we'll put in data.
data = trends1[0] 
# grab the trends
trends = data['trends']
# grab the name from each trend
names = [trend['name'] for trend in trends]
# put all the names together with a ' ' separating them
trendsName = ' '.join(names)
print(trendsName)


# In[8]:



public_tweet=api.search('cricket')
for tweet in public_tweet:
   print(tweet.text)