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# clj-twitter-feelings
Shows how people on twitter are feeling, in real-time.
Meant to be an example of a swing app in Clojure.
## Usage
Download [the standalone jar][1] and run it like:
java -jar clj-twitter-feelings-1.0.0-standalone.jar
Or checkout the source and
* build using leiningen and run using Java:
git clone git://github.com/abhin4v/clj_twitter_feelings.git clj_twitter_feelings
cd clj_twitter_feelings
lein deps && lein uberjar
java -jar target/clj-twitter-feelings-1.0.0-standalone.jar
* OR run using leiningen-run plugin:
git clone git://github.com/abhin4v/clj_twitter_feelings.git clj_twitter_feelings
cd clj_twitter_feelings
lein deps && lein run
## How it works
* Access the twitter sample tweet stream (the users need to input their twitter
credentials for accessing the stream)
* Find the feeling related adjectives in each tweet's status text and lookup
their type (Positive, Neutral, Negative) against the included list of adjectives
in text files
* Keep the count of the adjective types in a sliding window of tweets
* Show the count on the UI
## License
Copyright (C) 2010 Abhinav Sarkar <abhinav@abhinavsarkar.net>
Distributed under the Eclipse Public License, the same as Clojure.
[1] http://github.com/downloads/abhin4v/clj_twitter_feelings/clj-twitter-feelings-1.0.0-standalone.jar
# clj-twitter-feelings
Shows how people on twitter are feeling, in real-time.
Meant to be an example of a swing app in Clojure.
## Usage
Download [the standalone jar][1] and run it like:
java -jar clj-twitter-feelings-1.0.0-standalone.jar
Or checkout the source and
build using leiningen and run using Java:
git clone git://github.com/abhin4v/clj_twitter_feelings.git clj_twitter_feelings
cd clj_twitter_feelings
lein deps && lein uberjar
java -jar target/clj-twitter-feelings-1.0.0-standalone.jar
OR run using leiningen-run plugin:
git clone git://github.com/abhin4v/clj_twitter_feelings.git clj_twitter_feelings
cd clj_twitter_feelings
lein deps && lein run
## How it works
* Access the twitter sample tweet stream (the users need to input their twitter
credentials for accessing the stream)
* Find the feeling related adjectives in each tweet's status text and lookup
their type (Positive, Neutral, Negative) against the included list of adjectives
in text files
* Keep the count of the adjective types in a sliding window of tweets
* Show the count on the UI
## License
Copyright (C) 2010 Abhinav Sarkar <abhinav@abhinavsarkar.net>
Distributed under the Eclipse Public License, the same as Clojure.
[1]: http://github.com/downloads/abhin4v/clj_twitter_feelings/clj-twitter-feelings-1.0.0-standalone.jar