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Predict keywords activities in a online social media Data Set
Download: Data Folder, Data Set Description

Abstract: The data from Twitter was collected during 360 consecutive days. It was done by querying 1497 English keywords sampled from Wikipedia. This dataset is proposed in a Learning to rank setting.

Data Set Characteristics:  

Multivariate, Sequential, Time-Series

Number of Instances:

51

Area:

Computer

Attribute Characteristics:

Integer, Real

Number of Attributes:

35

Date Donated

2013-12-12

Associated Tasks:

N/A

Missing Values?

N/A

Number of Web Hits:

49368


Source:

François Kawala (1,2) Ahlame Douzal (1) Eric Gaussier (1) Eustache Diemert (2)
Institutions :
(1) Université Joseph Fourier (Grenoble I) - Laboratoire d'informatique de Grenoble (LIG) - Equipe AMA
(2) TechMediaNetwork - www.techmedianetwork.com

Corresponding author:
François Kawala : francois.kawala '@' imag.fr / fkawala '@' techmedianetwork.com


Data Set Information:

See files and/or [Web Link]


Attribute Information:

See files and/or [Web Link]


Relevant Papers:

Apprentissage d’ordonnancement et influence de l’ambiguïté pour la prédiction d’activité sur les réseaux sociaux (F. Kawala, A. Douzal-Chouakria, E. Gaussier, E. Dimert), In Actes de la Conférence en Recherche d'Infomations et Applications (CORIA), pp. 22, 2014.



Citation Request:

Apprentissage d’ordonnancement et influence de l’ambiguïté pour la prédiction d’activité sur les réseaux sociaux (F. Kawala, A. Douzal-Chouakria, E. Gaussier, E. Dimert), In Actes de la Conférence en Recherche d'Infomations et Applications (CORIA), pp. 22, 2014.


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