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twitter_data.py
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twitter_data.py
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import re
import csv
import twitter
import time
from string import punctuation
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from datetime import date
from datetime import timedelta
from datetime import datetime
import pandas as pd
class Da_tweets:
normal_tweets = []
processed_tweets = []
twitter_api = None
def __init__(self,api_file):
self._stopwords = set(stopwords.words('english') + list(punctuation) + ['AT_USER','URL'])
self._initialize_keys(api_file)
def _initialize_keys(self,api_file):
apikeys_file = open(api_file,'r')
reader = csv.reader(apikeys_file,delimiter=':')
apikeys = []
for row in reader:
apikeys.append(row[1])
self.twitter_api = twitter.Api(consumer_key = apikeys[0],
consumer_secret = apikeys[1],
access_token_key = apikeys[2],
access_token_secret = apikeys[3],
tweet_mode = 'extended')
def test_api(self):
print(self.twitter_api.VerifyCredentials())
def build_trainingset(self,corpusfile,tweetdatafile):
corpus = []
with open(corpusfile,'r') as csvfile:
lineReader = csv.reader(csvfile,delimiter=',',quotechar="\"")
for row in lineReader:
corpus.append({"tweet_id":row[2],"label":row[1],"topic":row[0]})
rate_limit = 180
sleep_time = 900/180
trainingDataset = []
for tweet in corpus:
try:
status = self.twitter_api.GetStatus(tweet["tweet_id"])
print("Tweet fetched " + status.text)
tweet["text"] = status.text
trainingDataset.append(tweet)
time.sleep(sleep_time)
except:
continue
with open(tweetdatafile,'w') as csvfile:
lineWriter = csv.writer(csvfile,delimiter=',',quotechar="\"")
for tweet in trainingDataset:
try:
lineWriter.writerow([tweet["tweet_id"],tweet["text"],tweet["label"],tweet["topic"]])
except Exception as e:
print(e)
def build_testset_keyword(self,keyword):
try:
tweets_fetched = self.twitter_api.GetSearch(raw_query = keyword)
print('fetched ' + str(len(tweets_fetched)) + ' tweets for ' + keyword)
for status in tweets_fetched:
self.normal_tweets.append({'text':status.full_text,'id':status.id,'date':status.created_at,'label':None})
self._preprocess_tweets()
except:
print('Some unfortunate event happened RIP maybe internet issues or stuff')
return None
def _preprocess_tweets(self):
for tweet in self.normal_tweets:
temp_tweet = tweet['text'].lower()
temp_tweet = re.sub('((www\.[^\s]+)|(https?://[^\s]+))', 'URL', temp_tweet)
temp_tweet = re.sub('@[^\s]+', 'AT_USER', temp_tweet)
temp_tweet = re.sub(r'#([^\s]+)', r'\1', temp_tweet)
temp_tweet = word_tokenize(temp_tweet)
self.processed_tweets.append(([word for word in temp_tweet if word not in self._stopwords],tweet['label']))
def print_tweets(self):
print()
for tweet in self.normal_tweets:
print(tweet['text'],tweet['id'])
print()
def print_processed_tweets(self):
for tweet in self.processed_tweets:
print(tweet)
def getTweetKeys(self):
stats = self.twitter_api.GetUserTimeline(screen_name='@Microsoft',count=1)
tweet = stats[0].AsDict()
tweetkeys = []
for key in tweet.keys():
tweetkeys.append(key)
return tweetkeys
def getWeekTweets(self,company):
tdate = date.today()
week = timedelta(7)
odate = tdate - week
tweetCnt = 0
self.normal_tweets = []
query = 'q=to%3A' + company + '%20-filter%3Alinks' + '&since=' + str(odate) + '&count=100'
self.build_testset_keyword(query)
tweetCnt = len(self.normal_tweets)
last_tweet = self.normal_tweets[-1]
dt = datetime.strptime(last_tweet['date'],'%a %b %d %H:%M:%S %z %Y').date()
while(dt > odate):
query = 'q=to%3A' + company + '%20-filter%3Alinks' + '&since=' + str(odate) + '&max_id=' + str(last_tweet['id']) + '&count=100'
self.build_testset_keyword(query)
if(tweetCnt == len(self.normal_tweets)):
break
tweetCnt = len(self.normal_tweets)
last_tweet = self.normal_tweets[-1]
dt = datetime.strptime(last_tweet['date'],'%a %b %d %H:%M:%S %z %Y').date()
print(dt)
self._preprocess_tweets()
def GetUserTweets(self,usernm,company):
self.normal_tweets = []
stats = self.twitter_api.GetUserTimeline(screen_name='@'+usernm,count=200)
tweets = [i.AsDict() for i in stats]
for tweet in tweets:
if(company.lower() in tweet['full_text'].lower()):
self.normal_tweets.append({'text':tweet['full_text'],'id':tweet['id'],'label':None})
max_tweets = 3240
iterations = int(max_tweets/200)
for i in range(iterations):
stats = self.twitter_api.GetUserTimeline(screen_name=usernm,max_id=tweets[-1]['id'],count=200)
tweets = [i.AsDict() for i in stats]
for tweet in tweets:
if(company.lower() in tweet['full_text'].lower()):
self.normal_tweets.append({'text':tweet['full_text'],'id':tweet['id'],'label':None})
print('fetched ' + str(len(self.normal_tweets)) + ' tweets for ' + company + ' from @' + usernm)
userdatafile = '.\\data\\twitter\\' + company + '_finance.csv'
with open(userdatafile,'a') as csvfile:
lineWriter = csv.writer(csvfile,delimiter=',',quotechar='\"')
for tweet in self.normal_tweets:
try:
lineWriter.writerow([tweet['text'],tweet['id'],tweet['label']])
except Exception as e:
print(e)
self._preprocess_tweets()
def socialTweets(self,company):
self.normal_tweets = []
query = 'q=to%3A' + company + '%20-filter%3Alinks' + '&count=100'
self.build_testset_keyword(query)
total_tweets = 2500
iterations = int(total_tweets/100)
for i in range(iterations):
last_tweet = self.normal_tweets[-1]
query = 'q=to%3A' + company + '%20-filter%3Alinks' + '&max_id='+ str(last_tweet['id']) + '&count=100'
self.build_testset_keyword(query)
userdatafile = '.\\data\\twitter\\' + company + '_peepeepoopoo.csv'
with open(userdatafile,'w') as csvfile:
lineWriter = csv.writer(csvfile,delimiter=',',quotechar='\"')
for tweet in self.normal_tweets:
try:
lineWriter.writerow([tweet['text'],tweet['id'],tweet['label']])
except Exception as e:
print(e)
self._preprocess_tweets()
if __name__=='__main__':
companies = ['Apple','Amazon','Facebook','GoldmanSachs','Google','Intel','jpmorgan','Microsoft','Tesla','Samsung','Walmart']
users = ['CNBC','Benzinga','Stocktwits','BreakoutStocks','bespokeinvest','WSJmarkets','Stephanie_Link','nytimesbusiness','IBDinvestors','WSJdeals']
api_file = 'APIkeys.txt'
twitter_time = Da_tweets(api_file)
twitter_time.getWeekTweets('Amazon')
print("NORMAL")
twitter_time.print_tweets()
print("PROCESSED")
twitter_time.print_processed_tweets()
tweets = pd.DataFrame(twitter_time.normal_tweets['text'])
tweets.to_csv('.\\Sentiment Analysis\\recent_tweets.csv')