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SNOW 2014 Data Challenge

Abstract Resources and data from the SNOW 2014 Data Challenge. If you use these resources for your research, please cite:Symeon Papadopoulos, David Corney, Luca Aiello (2014). SNOW 2014 Data Challenge: Assessing the Performance of News Topic Detection Methods in Social Media. Proceedings of the SNOW 2014 Data Challenge, April 2014. — For more information see: http://www.socialsensor.eu/use-cases/evaluation/122-snow2014-data-challenge.

# Label Extent MIME type Data
Data file (original file name snow2014dc_dev_reftopics.txt) associated with item SNOW 2014 Data Challenge 1 data file
5665 bytes
text/plain
Data file (original file name snow2014dc_test_reftopics.txt) associated with item SNOW 2014 Data Challenge 1 data file
9887 bytes
text/plain
Data file (original file name snow14dc_test_tweetids.zip) associated with item SNOW 2014 Data Challenge 1 data file
6680479 bytes
Data file (original file name snow14dc_dev_tweetids.zip) associated with item SNOW 2014 Data Challenge 1 data file
6943459 bytes
Data file (original file name snow2014dc_test_exttopics.txt) associated with item SNOW 2014 Data Challenge 1 data file
5124 bytes
text/plain
Data file (original file name snow_results.xlsx) associated with item SNOW 2014 Data Challenge 1 data file
88653 bytes
application/vnd.ms-excel
Alternative download from figshare
Origin information
London, England : Figshare LLP
Date issued:
Type of Resource
text
software, multimedia
Physical description
6 files (text/plain) (application/zip) (application/vnd.ms-excel) — Digital origin: born digital
Recommended citation
Symeon Papadopoulos, David Corney, Luca Aiello (2014). SNOW 2014 Data Challenge: Assessing the Performance of News Topic Detection Methods in Social Media. Proceedings of the SNOW 2014 Data Challenge, April 2014.
Source
Descriptive metadata and data files captured from figshare (http://figshare.com/articles/SNOW_2014_Data_Challenge/1003755)
Genre
Dataset   linked data (dct)
Categories
Information Systems
Tags
Snow2014
Tags
Data challenge
Tags
Topic detection
Tags
Twitter
Funding
Funded by grants from Science Foundation Ireland, Grant No. 07/CE/I1147 and SFI/12/RC/2289

Referenced by
[1] Ifrim, Georgiana, Shi, Bichen, Brigadir, Igor. [Proceedings of the SNOW 2014 Data Challenge co-located with 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea, April 8, 2014] Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering 33-40 –
[2] twitter-topics 33-40 –
Record source
Metadata for this item captured via the figshare API and transformed to MODS 3.5 by an automated process. — Metadata creation date: 2014-08-30 — Record identifier: info:fedora/ucdlib:demo:3658

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