Tracing Shifts in Emotions in Streaming Social Network Data

Troels Andreasen, Henning Christiansen, Christian Theil have

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Shifts in emotions towards given topics on social media are often related to momentous real worldevents, and for the researcher or journalist, such changes may be the first observable sign that somethinginteresting is going on.Further research on why a topic t suddenly has become, say, more or less popular,may involve searching for topics t' whose co-occurrence with t have increased significantlytogether with the change in emotion.We hypothesize that t' and its increasing relationship to t may relate to a contributingcause why the attitude towards t is changing. A method and tool is presented that monitors a stream of messages, reporting topicswith changing emotions and indicating explanations by means of related topics whose increasing occurrence are taken aspossible clues of why the change did happen.
Original languageEnglish
Title of host publicationFoundations of Intelligent Systems : 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings
EditorsFlorianna Esposito, Olivier Pivert, Mohand-Said Hacid, Zbigniew W. Rás, Stefano Ferilli
PublisherSpringer
Publication date2015
Pages280-289
ISBN (Print)978-3-319-25251-3
ISBN (Electronic)978-3-319-25252-0
DOIs
Publication statusPublished - 2015
Event22nd International Symposium on Methodologies for Intelligent Systems - Lyon, France
Duration: 21 Oct 201523 Oct 2015
http://liris.cnrs.fr/ismis15/

Conference

Conference22nd International Symposium on Methodologies for Intelligent Systems
CountryFrance
CityLyon
Period21/10/201523/10/2015
Internet address
SeriesLecture Notes in Computer Science
Volume9384
ISSN0302-9743

Cite this

Andreasen, T., Christiansen, H., & Theil have, C. (2015). Tracing Shifts in Emotions in Streaming Social Network Data. In F. Esposito, O. Pivert, M-S. Hacid, Z. W. Rás, & S. Ferilli (Eds.), Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings (pp. 280-289). Springer. Lecture Notes in Computer Science, Vol.. 9384 https://doi.org/10.1007/978-3-319-25252-0_31
Andreasen, Troels ; Christiansen, Henning ; Theil have, Christian . / Tracing Shifts in Emotions in Streaming Social Network Data. Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings. editor / Florianna Esposito ; Olivier Pivert ; Mohand-Said Hacid ; Zbigniew W. Rás ; Stefano Ferilli. Springer, 2015. pp. 280-289 (Lecture Notes in Computer Science, Vol. 9384).
@inproceedings{39952ba1d5934cdab7a13237e7c99efd,
title = "Tracing Shifts in Emotions in Streaming Social Network Data",
abstract = "Shifts in emotions towards given topics on social media are often related to momentous real worldevents, and for the researcher or journalist, such changes may be the first observable sign that somethinginteresting is going on.Further research on why a topic t suddenly has become, say, more or less popular,may involve searching for topics t' whose co-occurrence with t have increased significantlytogether with the change in emotion.We hypothesize that t' and its increasing relationship to t may relate to a contributingcause why the attitude towards t is changing. A method and tool is presented that monitors a stream of messages, reporting topicswith changing emotions and indicating explanations by means of related topics whose increasing occurrence are taken aspossible clues of why the change did happen.",
author = "Troels Andreasen and Henning Christiansen and {Theil have}, Christian",
year = "2015",
doi = "10.1007/978-3-319-25252-0_31",
language = "English",
isbn = "978-3-319-25251-3",
pages = "280--289",
editor = "Florianna Esposito and Olivier Pivert and Mohand-Said Hacid and R{\'a}s, {Zbigniew W.} and Stefano Ferilli",
booktitle = "Foundations of Intelligent Systems",
publisher = "Springer",

}

Andreasen, T, Christiansen, H & Theil have, C 2015, Tracing Shifts in Emotions in Streaming Social Network Data. in F Esposito, O Pivert, M-S Hacid, ZW Rás & S Ferilli (eds), Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings. Springer, Lecture Notes in Computer Science, vol. 9384, pp. 280-289, Lyon, France, 21/10/2015. https://doi.org/10.1007/978-3-319-25252-0_31

Tracing Shifts in Emotions in Streaming Social Network Data. / Andreasen, Troels; Christiansen, Henning; Theil have, Christian .

Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings. ed. / Florianna Esposito; Olivier Pivert; Mohand-Said Hacid; Zbigniew W. Rás; Stefano Ferilli. Springer, 2015. p. 280-289.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Tracing Shifts in Emotions in Streaming Social Network Data

AU - Andreasen, Troels

AU - Christiansen, Henning

AU - Theil have, Christian

PY - 2015

Y1 - 2015

N2 - Shifts in emotions towards given topics on social media are often related to momentous real worldevents, and for the researcher or journalist, such changes may be the first observable sign that somethinginteresting is going on.Further research on why a topic t suddenly has become, say, more or less popular,may involve searching for topics t' whose co-occurrence with t have increased significantlytogether with the change in emotion.We hypothesize that t' and its increasing relationship to t may relate to a contributingcause why the attitude towards t is changing. A method and tool is presented that monitors a stream of messages, reporting topicswith changing emotions and indicating explanations by means of related topics whose increasing occurrence are taken aspossible clues of why the change did happen.

AB - Shifts in emotions towards given topics on social media are often related to momentous real worldevents, and for the researcher or journalist, such changes may be the first observable sign that somethinginteresting is going on.Further research on why a topic t suddenly has become, say, more or less popular,may involve searching for topics t' whose co-occurrence with t have increased significantlytogether with the change in emotion.We hypothesize that t' and its increasing relationship to t may relate to a contributingcause why the attitude towards t is changing. A method and tool is presented that monitors a stream of messages, reporting topicswith changing emotions and indicating explanations by means of related topics whose increasing occurrence are taken aspossible clues of why the change did happen.

U2 - 10.1007/978-3-319-25252-0_31

DO - 10.1007/978-3-319-25252-0_31

M3 - Article in proceedings

SN - 978-3-319-25251-3

SP - 280

EP - 289

BT - Foundations of Intelligent Systems

A2 - Esposito, Florianna

A2 - Pivert, Olivier

A2 - Hacid, Mohand-Said

A2 - Rás, Zbigniew W.

A2 - Ferilli, Stefano

PB - Springer

ER -

Andreasen T, Christiansen H, Theil have C. Tracing Shifts in Emotions in Streaming Social Network Data. In Esposito F, Pivert O, Hacid M-S, Rás ZW, Ferilli S, editors, Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings. Springer. 2015. p. 280-289. (Lecture Notes in Computer Science, Vol. 9384). https://doi.org/10.1007/978-3-319-25252-0_31