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For issue #3 #50

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For issue #3 #50

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e7df206
For issue #3
akarsh1263 Oct 7, 2021
7c646cd
Pie Chart issue
akarsh1263 Oct 8, 2021
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37 changes: 19 additions & 18 deletions jobtweets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,8 @@
import tweepy
from tweepy import OAuthHandler
from textblob import TextBlob

from matplotlib import pyplot as plt
import numpy as np
class TwitterClient(object):
'''
Generic Twitter Class for sentiment analysis.
Expand Down Expand Up @@ -56,29 +57,25 @@ def get_tweets(self, query, count = 10):
'''

tweets = []

querl=query.split()

try:

fetched_tweets = self.api.search(q = query, count = count)


for tweet in fetched_tweets:

parsed_tweet = {}
for qu in querl:
fetched_tweets = self.api.search(q = qu.strip(), count = count)
for tweet in fetched_tweets:
parsed_tweet = {}

parsed_tweet['text'] = tweet.text

parsed_tweet['text'] = tweet.text

parsed_tweet['sentiment'] = self.get_tweet_sentiment(tweet.text)
parsed_tweet['sentiment'] = self.get_tweet_sentiment(tweet.text)

if tweet.retweet_count > 0:
if tweet.retweet_count > 0:

if parsed_tweet not in tweets:
if parsed_tweet not in tweets:
tweets.append(parsed_tweet)
else:
tweets.append(parsed_tweet)
else:
tweets.append(parsed_tweet)


return tweets

except tweepy.TweepError as e:
Expand All @@ -96,7 +93,11 @@ def main():
print("Negative tweets percentage: {} %".format(100*len(ntweets)/len(tweets)))

print("Neutral tweets percentage: {} % ".format(100*(len(tweets) - len(ntweets) - len(ptweets))/len(tweets)))

data=[100*len(ptweets)/len(tweets),100*len(ntweets)/len(tweets),100*(len(tweets) - len(ntweets) - len(ptweets))/len(tweets)]
lab=['Positive','Negative','Neutral']
fig = plt.figure(figsize =(10, 7))
plt.pie(data, labels = lab)
plt.show()
print("\n\nPositive tweets:")
for tweet in ptweets[:10]:
print(tweet['text'])
Expand Down