A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results

Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Alessandro Vaccarino

2017

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.

Paper Citation

in Harvard Style

Boselli R., Cesarini M., Mercorio F., Mezzanzanica M. and Vaccarino A. (2017). A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results . In - KomIS, ISBN , pages 0-0. DOI: 10.5220/0006490703430349

in Bibtex Style

@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={ - KomIS,},
year={2017},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006490703430349},
isbn={},
}

in EndNote Style

TY - CONF
JO - - KomIS,
TI - A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results
SN -
AU - Boselli R.
AU - Cesarini M.
AU - Mercorio F.
AU - Mezzanzanica M.
AU - Vaccarino A.
PY - 2017
SP - 0
EP - 0
DO - 10.5220/0006490703430349