Damping Sentiment Analysis in Online Communication : Discussions, Monologs and Dialogs

Thelwall, Mike; Buckley, Kevan; Paltoglou, George; Skowron, Marcin; Garcia, David; Gobron, Stephane; Ahn, Junghyun; Kappas, Arvid; Küster, Dennis; Holyst, Janusz A.

Damping Sentiment Analysis in Online Communication : Discussions, Monologs and Dialogs

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2013

Autor:innen

Thelwall, Mike

Buckley, Kevan

Paltoglou, George

Skowron, Marcin

Garcia, David

Gobron, Stephane

Ahn, Junghyun

Kappas, Arvid

Küster, Dennis

Holyst, Janusz A.

DOI (zitierfähiger Link)

https://doi.org/10.1007/978-3-642-37256-8_1

Sammlungen

Politik- und Verwaltungswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

GELBUKH, Alexander, ed.. Computational Linguistics and Intelligent Text Processing : 14th International Conference, CICLing 2013, Samos, Greece, March 24-30, 2013, Proceedings, Part II. Berlin: Springer, 2013, pp. 1-12. Lecture Notes in Computer Science. 7817. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-642-37255-1. Available under: doi: 10.1007/978-3-642-37256-8_1

Zusammenfassung

Sentiment analysis programs are now sometimes used to detect patterns of sentiment use over time in online communication and to help automated systems interact better with users. Nevertheless, it seems that no previous published study has assessed whether the position of individual texts within on-going communication can be exploited to help detect their sentiments. This article assesses apparent sentiment anomalies in on-going communication – texts assigned significantly different sentiment strength to the average of previous texts – to see whether their classification can be improved. The results suggest that a damping procedure to reduce sudden large changes in sentiment can improve classification accuracy but that the optimal procedure will depend on the type of texts processed.

Fachgebiet (DDC)

320 Politik

Schlagwörter

Sentiment analysis, opinion mining, social web

Konferenz

14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), 24. März 2013 - 30. März 2013, Karlovasi, Samos, Greece

Zitieren

ISO 690

THELWALL, Mike, Kevan BUCKLEY, George PALTOGLOU, Marcin SKOWRON, David GARCIA, Stephane GOBRON, Junghyun AHN, Arvid KAPPAS, Dennis KÜSTER, Janusz A. HOLYST, 2013. Damping Sentiment Analysis in Online Communication : Discussions, Monologs and Dialogs. 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013). Karlovasi, Samos, Greece, 24. März 2013 - 30. März 2013. In: GELBUKH, Alexander, ed.. Computational Linguistics and Intelligent Text Processing : 14th International Conference, CICLing 2013, Samos, Greece, March 24-30, 2013, Proceedings, Part II. Berlin: Springer, 2013, pp. 1-12. Lecture Notes in Computer Science. 7817. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-642-37255-1. Available under: doi: 10.1007/978-3-642-37256-8_1

BibTex

@inproceedings{Thelwall2013Dampi-66160,
  year={2013},
  doi={10.1007/978-3-642-37256-8_1},
  title={Damping Sentiment Analysis in Online Communication : Discussions, Monologs and Dialogs},
  number={7817},
  isbn={978-3-642-37255-1},
  issn={0302-9743},
  publisher={Springer},
  address={Berlin},
  series={Lecture Notes in Computer Science},
  booktitle={Computational Linguistics and Intelligent Text Processing : 14th International Conference, CICLing 2013, Samos, Greece, March 24-30, 2013, Proceedings, Part II},
  pages={1--12},
  editor={Gelbukh, Alexander},
  author={Thelwall, Mike and Buckley, Kevan and Paltoglou, George and Skowron, Marcin and Garcia, David and Gobron, Stephane and Ahn, Junghyun and Kappas, Arvid and Küster, Dennis and Holyst, Janusz A.}
}

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