Zipf's and Benford's laws in Twitter hashtags

no code implementations • EACL 2017 • Jos{\'e} Alberto P{\'e}rez Meli{\'a}n, J. Alberto Conejero, C{\`e}sar Ferri Ram{\'\i}rez

In particular, we study the similarity of frequency distribution of hashtag popularity with respect to Zipf{'}s law, an empirical law referring to the phenomenon that many types of data in social sciences can be approximated with a Zipfian distribution.

ADoCS: Automatic Designer of Conference Schedules

no code implementations • EACL 2017 • Diego Fern Vallejo Huanga, o, Paulina Adriana Morillo Alc{\'\i}var, C{\`e}sar Ferri Ram{\'\i}rez

Distributing papers into sessions in scientific conferences is a task consisting in grouping papers with common topics and considering the size restrictions imposed by the conference schedule.

Clustering Information Retrieval