GitHub - syst3mw0rm/twitter-sentiments: Twitter sentiment analysis using NLTK

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Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
static		static
templates		templates
README		README
db.sql		db.sql
get_tweets.py		get_tweets.py
process_tweets.py		process_tweets.py
rest.py		rest.py
settings.py		settings.py
todo		todo
url_threaded_fetch.py		url_threaded_fetch.py

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Sentiment analysis of tweets having a particular hashtag using text-processing.com API.

How it works :
1. Tweets are fetched by get_tweets.py and pushed in a rabbitmq queue.
2. Tweets are extracted from queue and its sentiment is calculated using text processing API.
3. Result is saved into mysql database.
4. Flask app is used to display the tweets through web interface.

You can check it out : aws.aamirkhan.co.in:8000/query/%23facebook