Our winning Python code for detecting topics/events from a Twitter stream as developed for the SNOW 2014 Data Challenge.
Details on the method can be found here: https://github.com/heerme/twitter-topics/blob/master/insight-snow14dc-final.pdf
If you use these resources for your research, please cite:
Event Detection in Twitter using Aggresive Filtering and Hierarchical Tweet Clustering, G. Ifrim, B. Shi and I. Brigadir, Proceedings of the SNOW 2014 Data Challenge at WWW14, Korea, April 2014.
SNOW 2014 Data Challenge details: http://www.snow-workshop.org/2014/?page_id=37
SNOW 2014 Data Challenge proceedings: http://ceur-ws.org/Vol-1150/
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.