Towards the cloudification of the social networks analytics

Daniel Cea, Jordi Nin, Rubén Tous, Jordi Torres, Eduard Ayguadé

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

13 Citas (Scopus)

Resumen

In the last years, with the increase of the available data from social networks and the rise of big data technologies, social data has emerged as one of the most profitable market for companies to increase their benefits. Besides, social computation scientists see such data as a vast ocean of information to study modern human societies. Nowadays, enterprises and researchers are developing their own mining tools in house, or they are outsourcing their social media mining needs to specialised companies with its consequent economical cost. In this paper, we present the first cloud computing service to facilitate the deployment of social media analytics applications to allow data practitioners to use social mining tools as a service. The main advantage of this service is the possibility to run different queries at the same time and combine their results in real time. Additionally, we also introduce twearch, a prototype to develop twitter mining algorithms as services in the cloud.

Idioma originalInglés
Título de la publicación alojadaModeling Decisions forArtificial Intelligence - 11th International Conference, MDAI 2014, Proceedings
EditoresVicenç Torra, Yasuo Narukawa, Yasunori Endo
EditorialSpringer Verlag
Páginas192-203
Número de páginas12
ISBN (versión digital)9783319120539
DOI
EstadoPublicada - 2014
Publicado de forma externa
Evento11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014 - Tokyo , Japón
Duración: 29 oct 201431 oct 2014

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen8825
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014
País/TerritorioJapón
CiudadTokyo
Período29/10/1431/10/14

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