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/
These software distributions are open source, licensed under the GNU General Public License (v3 or later). Note that this is the full GPL, which allows many free uses, but does not allow its incorporation (even in part or in translation) into any type of proprietary software which you distribute. Commercial licensing is also available; please contact us if you are interested.
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.