Languages' impact on emotional classification methods

Alexander C. Eilertsen, Dennis Hojbjerg Rose, Peter Langballe Erichsen, Rasmus Engesgaard Christensen, Rudra Pratap Deb Nath

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Original languageEnglish
Title of host publicationProceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
EditorsMaria Ganzha, Leszek Maciaszek, Leszek Maciaszek, Marcin Paprzycki
Number of pages10
PublisherElectrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publication dateSep 2019
Pages277-286
Article number8860017
ISBN (Electronic)9788395541605
DOIs
Publication statusPublished - Sep 2019
Event2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019 - Leipzig, Germany
Duration: 1 Sep 20194 Sep 2019

Conference

Conference2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
CountryGermany
CityLeipzig
Period01/09/201904/09/2019
SponsorIntel
SeriesFederated Conference on Computer Science and Information Systems
Volume18
ISSN2300-5963

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Language
Research

Keywords

  • Cross-Language Analysis
  • Emotional Classification
  • Natural Language Processing
  • Sentiment Analysis
  • Text-to-Emotion Analysis

Cite this

Eilertsen, A. C., Rose, D. H., Erichsen, P. L., Christensen, R. E., & Nath, R. P. D. (2019). Languages' impact on emotional classification methods. In M. Ganzha, L. Maciaszek, L. Maciaszek, & M. Paprzycki (Eds.), Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019 (pp. 277-286). [8860017] Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. Federated Conference on Computer Science and Information Systems, Vol.. 18 https://doi.org/10.15439/2019F143
Eilertsen, Alexander C. ; Rose, Dennis Hojbjerg ; Erichsen, Peter Langballe ; Christensen, Rasmus Engesgaard ; Nath, Rudra Pratap Deb. / Languages' impact on emotional classification methods. Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019. editor / Maria Ganzha ; Leszek Maciaszek ; Leszek Maciaszek ; Marcin Paprzycki. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2019. pp. 277-286 (Federated Conference on Computer Science and Information Systems, Vol. 18).
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Eilertsen, AC, Rose, DH, Erichsen, PL, Christensen, RE & Nath, RPD 2019, Languages' impact on emotional classification methods. in M Ganzha, L Maciaszek, L Maciaszek & M Paprzycki (eds), Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019., 8860017, Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, Federated Conference on Computer Science and Information Systems, vol. 18, pp. 277-286, 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, Leipzig, Germany, 01/09/2019. https://doi.org/10.15439/2019F143

Languages' impact on emotional classification methods. / Eilertsen, Alexander C.; Rose, Dennis Hojbjerg; Erichsen, Peter Langballe; Christensen, Rasmus Engesgaard; Nath, Rudra Pratap Deb.

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019. ed. / Maria Ganzha; Leszek Maciaszek; Leszek Maciaszek; Marcin Paprzycki. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2019. p. 277-286 8860017 (Federated Conference on Computer Science and Information Systems, Vol. 18).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Eilertsen AC, Rose DH, Erichsen PL, Christensen RE, Nath RPD. Languages' impact on emotional classification methods. In Ganzha M, Maciaszek L, Maciaszek L, Paprzycki M, editors, Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. 2019. p. 277-286. 8860017. (Federated Conference on Computer Science and Information Systems, Vol. 18). https://doi.org/10.15439/2019F143