https://github.com/jedirhymetrix/twittersentiments

Twitter sentiment analyzer written in Python
https://github.com/jedirhymetrix/twittersentiments

machine-learning python scikit-learn tensorflow twitter-sentiment-analyzer

Last synced: 2 months ago
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Twitter sentiment analyzer written in Python

• Host: GitHub
• URL: https://github.com/jedirhymetrix/twittersentiments
• Owner: JediRhymeTrix
• License: mit
• Created: 2017-03-07T06:32:26.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-06-13T14:20:08.000Z (about 9 years ago)
• Last Synced: 2025-01-04T00:47:40.485Z (over 1 year ago)
• Topics: machine-learning, python, scikit-learn, tensorflow, twitter-sentiment-analyzer
• Language: Python
• Size: 72.3 KB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# TwitterSentiments

Twitter sentiment analyzer written in Python

Python ver. 2.7

Author: Vedant Vohra

Date: 18-02-2017

Encoding: Unicode-extended

pre-requisites: 

	TwitterSearch: (https://github.com/ckoepp/TwitterSearch)

		

			pip install TwitterSearch

usage:

	>>> tweet_sentiments.py 

	

	wordlists:

		positive wordlist goes in -> [positive.txt]

		negative wordlist goes in -> [negative.txt]

	

	tweets:

		scanned tweets -> [test_tweets.txt]

		sample tweets  -> [obama_tweets.txt]

APIs:

	Twitter API: 

		ver - 2.0

		

		keys:

			consumer_key = 'JJf1zaFm62QWDI9Kh55v8MMV7'

	        	consumer_secret = '376WqS1KISggbRuiKHTPIZknFImiqjCNmJi8W2Myj7OfSpLS0B'

	        	access_token = '2172451140-4D6obJISbYBvQM0mxa9kaEYY1xMh3flIJVQ3Jmn'

	        	access_token_secret = 'FbJKBWwO48z5KWBztipDrvlc4l3glXTZKKd5l8hSn6D5M'