Tracing Shifts in Emotions in Streaming Social Network Data

Troels Andreasen; Henning Christiansen; Christian  Theil have

doi:10.1007/978-3-319-25252-0_31

Tracing Shifts in Emotions in Streaming Social Network Data

Troels Andreasen, Henning Christiansen, Christian Theil have

Programmering, logik og intelligente systemer

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer 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.

Originalsprog	Engelsk
Titel	Foundations of Intelligent Systems : 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings
Redaktører	Florianna Esposito, Olivier Pivert, Mohand-Said Hacid, Zbigniew W. Rás, Stefano Ferilli
Forlag	Springer
Publikationsdato	2015
Sider	280-289
ISBN (Trykt)	978-3-319-25251-3
ISBN (Elektronisk)	978-3-319-25252-0
DOI	https://doi.org/10.1007/978-3-319-25252-0_31
Status	Udgivet - 2015
Begivenhed	22nd International Symposium on Methodologies for Intelligent Systems - Lyon, Frankrig Varighed: 21 okt. 2015 → 23 okt. 2015 http://liris.cnrs.fr/ismis15/

Konference

Konference	22nd International Symposium on Methodologies for Intelligent Systems
Land/Område	Frankrig
By	Lyon
Periode	21/10/2015 → 23/10/2015
Internetadresse	http://liris.cnrs.fr/ismis15/

Navn	Lecture Notes in Computer Science
Vol/bind	9384
ISSN	0302-9743

Link til dokument

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

1 Deltagelse i workshop, seminar og kursus

22nd International Symposium on Methodologies for Intelligent Systems
Henning Christiansen (Taler)
21 okt. 2015 → 23 okt. 2015
Aktivitet: Deltagelse i eller arrangering af en begivenhed › Deltagelse i workshop, seminar og kursus

Citer dette

Andreasen, T., Christiansen, H., & Theil have, C. (2015). Tracing Shifts in Emotions in Streaming Social Network Data. I F. Esposito, O. Pivert, M-S. Hacid, Z. W. Rás, & S. Ferilli (red.), Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings (s. 280-289). Springer. Lecture Notes in Computer Science Bind 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. red. / Florianna Esposito ; Olivier Pivert ; Mohand-Said Hacid ; Zbigniew W. Rás ; Stefano Ferilli. Springer, 2015. s. 280-289 (Lecture Notes in Computer Science, Bind 9384).

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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.",

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editor = "Florianna Esposito and Olivier Pivert and Mohand-Said Hacid and R{\'a}s, {Zbigniew W.} and Stefano Ferilli",

booktitle = "Foundations of Intelligent Systems",

note = "null ; Conference date: 21-10-2015 Through 23-10-2015",

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Andreasen, T , Christiansen, H & Theil have, C 2015, Tracing Shifts in Emotions in Streaming Social Network Data. i F Esposito, O Pivert, M-S Hacid, ZW Rás & S Ferilli (red), Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings. Springer, Lecture Notes in Computer Science, bind 9384, s. 280-289, 22nd International Symposium on Methodologies for Intelligent Systems, Lyon, Frankrig, 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. red. / Florianna Esposito; Olivier Pivert; Mohand-Said Hacid; Zbigniew W. Rás; Stefano Ferilli. Springer, 2015. s. 280-289 (Lecture Notes in Computer Science, Bind 9384).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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AU - Andreasen, Troels

AU - Christiansen, Henning

AU - Theil have, Christian

PY - 2015

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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.

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M3 - Article in proceedings

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BT - Foundations of Intelligent Systems

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

Tracing Shifts in Emotions in Streaming Social Network Data

Abstract

Konference

Link til dokument

Aktiviteter

22nd International Symposium on Methodologies for Intelligent Systems

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