Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Automatic Recognition of Sound Categories from Their Vocal Imitation Using Audio Primitives Automatically Found by SI-PLCA and HMM Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Sonifying Twitter’s Emotions Through Music

verfasst von : Mariana Seiça, Rui (Buga) Lopes, Pedro Martins, F. Amílcar Cardoso

Erschienen in: Music Technology with Swing

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Sonification is a scientific field that seeks to explore the potential of sound as an instrument to convey and interpret data. Its techniques have been developing significantly with the growth of technology and supporting hardware and software, which have spread in our daily environment. This allowed the establishment of new communication tools to share information, opinion and feelings as part of our daily routine.
The aim of this project was to unite the social media phenomena with sonification, using Twitter data to extract user’s emotions and translate them into musical compositions. The focus was to explore the potential of music in translating data as personal and subjective as human emotions, developing a musically complex and captivating mapping based on the rules of Western Music. The music is accompanied by a simple visualization, which results in emotions being heard and seen with the corresponding tweets, in a multimodal experience that represents Twitter’s emotional reality. The mapping was tested through an online survey, and despite a few misunderstandings, the results were generally positive, expressing the efficiency and impact of the developed system.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Use the Force: Incorporating Touch Force Sensors into Mobile Music Interaction
Nächstes Kapitel Reflections on the Use of Musical Software in Compositional Processes for Light Art
Literatur
1.
Aldwell, E., Schachter, C.: Harmony & Voice Leading. Thomson-Schirmer, Belmont (2003)
2.
3.
Coelho, A., Martins, P., Cardoso, A.: A Portuguese Epopee seen through sound. In: 5th Conference on Computation, Communication, Aesthetics & X (2017)
4.
5.
Gabrielsson, A., Lindström, E.: The role of structure in the musical expression of emotions. In: Juslin, P.N., Sloboda, J. (eds.) Handbook of Music and Emotion: Theory, Research, Applications. Oxford University Press, New York (2010)CrossRef
6.
Han, B., Cook, P., Baldwin, T.: Automatically constructing a normalisation dictionary for microblogs. In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Jeju Island, Korea (2012)
7.
8.
Hermann, T., Hunt, A., Neuhoff, J.G.: The Sonification Handbook. Logos Verlag, Berlin (2011)
9.
Hermann, T., Nehls, A.V., Eitel, F., Barri, T., Gammenl, M.: Tweetscapes - Real-time sonification of Twitter data stream for radio broadcasting. In: Proceedings of the 18th International Conference on Auditory Display, Atlanta, GA, USA (2012)
10.
Hevner, K.: Experimental studies of the elements of expression in music. Am. J. Psychol. 48(2), 246–268 (1936)CrossRef
11.
Juslin, P., Västfjäll, D.: Emotional responses to music: the need to consider underlying mechanisms. Behav. Brain Sci. 31, 559–621 (2008)CrossRef
12.
13.
Ligon, B.: Jazz Theory Resources: Tonal, Harmonic, Melodic and Rhythmic Organization of Jazz. Houston Publishing (2003)
14.
Liu, F., Weng, F., Jiang, X.: A broad-coverage normalization system for social media language. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pp. 1035–1044 (2012)
15.
Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S.J., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55–60 (2014)
16.
Miller, G.M.: WordNet: a lexical database for English. Commun. ACM 38(11), 39–41 (1995)CrossRef
17.
Mohammad, S.M., Kiritchenjko, S.: Using hashtags to capture fine emotion categories from tweets. Comput. Intell. 31(2), 301–326 (2013)MathSciNetCrossRef
18.
Morreale, F., Miniukovich, A., De Angeli, A.: TwitterRadio: Translating Tweets into Music. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Toronto, ON, Canada (2014)
19.
Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retr. 2(1–2), 1–135 (2008)CrossRef
20.
Plutchik, R.: The nature of emotions. Am. Scientist. 89, 344–350 (2001)CrossRef
21.
Quinn, M.: Research set to music: the climate symphony and other sonifications of ice core, radar, DNA, seismic and solar wind data. In: Proceedings of the International Conference on Auditory Display, Espoo, Finland (2001)
22.
Reynolds, C.W.: Flocks, herds and schools: a distributed behavioral model. In: Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), pp. 25–34 (1987)
23.
Russell, J.: A circumplex model of affect. J. Pers. Soc. Psychology. 39(6), 1161–1178 (1980)CrossRef
24.
Song, Y., Dixon, S., Pearce, M.T., Halpern, A.R.: Perceived and induced emotion responses to popular music: categorical and dimensional models. Music. Percept.: Interdiscip. J. 33(4), 472–492 (2016)CrossRef
25.
26.
Waite, B.: Modern jazz piano: a study in harmony and improvisation. Wise-Publications (Book Sales Limited) (1987)
27.
28.
Winters, R.M., Hattwick, I., Wanderley, M.M.: Emotional data in music performance: two environments for the emotional imaging composer. In: Proceedings of the 3rd International Conference of Music & Emotion (ICM3), Jyväskylä, Finalnd (2013)
Metadaten
Titel
Sonifying Twitter’s Emotions Through Music
verfasst von
Mariana Seiça
Rui (Buga) Lopes
Pedro Martins
F. Amílcar Cardoso
Copyright-Jahr
2018
Buch
Music Technology with Swing

Print ISBN: 978-3-030-01691-3

Electronic ISBN: 978-3-030-01692-0

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-01692-0_39

Neuer Inhalt

    Bildnachweise