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.
Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M., & 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 (DATA 2017) (pp.343-349). SciTePress.
Citazione: | Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M., & 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 (DATA 2017) (pp.343-349). SciTePress. |
Tipo: | paper |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | No |
Titolo: | A pipeline for multimedia Twitter analysis through graph databases: Preliminary results |
Autori: | Boselli, R; Cesarini, M; Mercorio, F; Mezzanzanica, M; Vaccarino, A |
Autori: | BOSELLI, ROBERTO (Ultimo) CESARINI, MIRKO (Penultimo) MEZZANZANICA, MARIO (Secondo) |
Data di pubblicazione: | 2017 |
Lingua: | English |
Nome del convegno: | 6th International Conference on Data Science, Technology and Applications, DATA 2017 |
ISBN: | 9789897582554 |
Appare nelle tipologie: | 02 - Intervento a convegno |
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