https://github.com/dipanjans/tweetsense

Sentiment analysis of live Twitter Stream
https://github.com/dipanjans/tweetsense

Last synced: 11 days ago
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Sentiment analysis of live Twitter Stream

• Host: GitHub
• URL: https://github.com/dipanjans/tweetsense
• Owner: dipanjanS
• Created: 2013-07-04T20:59:58.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2013-07-04T21:10:10.000Z (over 11 years ago)
• Last Synced: 2024-10-07T13:41:07.245Z (about 1 month ago)
• Language: Python
• Size: 13.2 MB
• Stars: 2
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.html

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README

        


About twitterstream.py: 

Used to fetch live stream data from twitter.

Requires oauth2, which is not part of the EnThought Python library.

usage:

Open the program and replace access_token_key, access_token_secret, consumer_key, and consumer_secret with the appropriate values. Then run

$ python twitterstream.py

To get credentials:



Create a twitter account if you do not already have one.

Go to https://dev.twitter.com/apps and log in with your twitter credentials.

Click "create an application"

Fill out the form and agree to the terms.  Put in a dummy website if you don't have one you want to use.

On the next page, scroll down and click "Create my access token"

Copy your "Consumer key" and your "Consumer secret" into twitterstream.py

Click "Create my access token."  You can Read more about Oauth authorization.



Open twitterstream.py and set the variables corresponding to the consumer key, consumer secret, access token, and access secret

Run the following and make sure you see data flowing.


$ python twitterstream.py