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Authors: Roberto Boselli 1 ; Mirko Cesarini 1 ; Fabio Mercorio 1 ; Mario Mezzanzanica 1 and Alessandro Vaccarino 2

Affiliations: 1 University of Milan-Bicocca, Italy ; 2 Aubay Italia SpA, Italy

ISBN: 978-989-758-255-4

ISSN: 2184-285X

Keyword(s): Graph-Database, Social Network Analysis, Microblogging

Abstract: Twitter is a microblogging service where users post not only short messages, but also images and other multimedia contents. Twitter can be used for analyzing people public discussions, as a huge amount of messages are continuously broadcasted by users. Analysis have usually focused on the textual part of messages, but the non-negligible number of images exchanged calls for specific attention. In this paper we describe how the tweet multimedia contents can be turned into a knowledge graph and then used for analyzing the messages sent during marketing campaigns. The information extraction and processing pipeline is built on top of off-theshelf APIs and products while the obtained knowledge is modelled through a Graph Database. The resulting knowledge graph was useful to explore and identify similarities among different marketing campaigns carried out using Twitter, providing some preliminary but promising results.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Boselli, R.; Cesarini, M.; Mercorio, F.; Mezzanzanica, M. and Vaccarino, A. (2017). A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results. In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: KomIS, ISBN 978-989-758-255-4 ISSN 2184-285X, pages 343-349. DOI: 10.5220/0006490703430349

@conference{komis17,
author={Roberto Boselli. and Mirko Cesarini. and Fabio Mercorio. and Mario Mezzanzanica. and Alessandro Vaccarino.},
title={A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: KomIS,},
year={2017},
pages={343-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006490703430349},
isbn={978-989-758-255-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: KomIS,
TI - A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results
SN - 978-989-758-255-4
IS - 2184-285X
AU - Boselli, R.
AU - Cesarini, M.
AU - Mercorio, F.
AU - Mezzanzanica, M.
AU - Vaccarino, A.
PY - 2017
SP - 343
EP - 349
DO - 10.5220/0006490703430349

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