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


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
Publication date2015
ISBN (Print)978-3-319-25251-3
ISBN (Electronic)978-3-319-25252-0
Publication statusPublished - 2015
Event22nd International Symposium on Methodologies for Intelligent Systems - Lyon, France
Duration: 21 Oct 201523 Oct 2015


Conference22nd International Symposium on Methodologies for Intelligent Systems
Internet address
SeriesLecture Notes in Computer Science

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