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SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis

Ellen De Geyndt (UGent) , Orphée De Clercq (UGent) , Cynthia Van Hee (UGent) , Els Lefever (UGent) , Pranaydeep Singh (UGent) , Olivier Parent and Veronique Hoste (UGent)
(2022) Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis. p.51-61
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Abstract
In this paper, we present the SentEMO platform, a tool that provides aspect-based sentiment analysis and emotion detection of unstructured text data such as reviews, emails and customer care conversations. Currently, models have been trained for five domains and one general domain and are implemented in a pipeline approach, where the output of one model serves as the input for the next. The results are presented in three interactive dashboards, allowing companies to gain more insights into what stakeholders think of their products and services. The SentEMO platform is available at https://sentemo.ugent.be/(1).
Keywords
LT3, EXTRACTION

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MLA
De Geyndt, Ellen, et al. “SentEMO : A Multilingual Adaptive Platform for Aspect-Based Sentiment and Emotion Analysis.” Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, edited by Jeremy Barnes et al., Association for Computational Linguistics (ACL), 2022, pp. 51–61, doi:10.18653/v1/2022.wassa-1.5.
APA
De Geyndt, E., De Clercq, O., Van Hee, C., Lefever, E., Singh, P., Parent, O., & Hoste, V. (2022). SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis. In J. Barnes, O. De Clercq, V. Barriere, S. Tafreshi, S. Alqahtani, J. Sedoc, … A. Balahur (Eds.), Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (pp. 51–61). https://doi.org/10.18653/v1/2022.wassa-1.5
Chicago author-date
De Geyndt, Ellen, Orphée De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent, and Veronique Hoste. 2022. “SentEMO : A Multilingual Adaptive Platform for Aspect-Based Sentiment and Emotion Analysis.” In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, edited by Jeremy Barnes, Orphée De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, and Alexandra Balahur, 51–61. Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.wassa-1.5.
Chicago author-date (all authors)
De Geyndt, Ellen, Orphée De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent, and Veronique Hoste. 2022. “SentEMO : A Multilingual Adaptive Platform for Aspect-Based Sentiment and Emotion Analysis.” In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, ed by. Jeremy Barnes, Orphée De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, and Alexandra Balahur, 51–61. Association for Computational Linguistics (ACL). doi:10.18653/v1/2022.wassa-1.5.
Vancouver
1.
De Geyndt E, De Clercq O, Van Hee C, Lefever E, Singh P, Parent O, et al. SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis. In: Barnes J, De Clercq O, Barriere V, Tafreshi S, Alqahtani S, Sedoc J, et al., editors. Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis. Association for Computational Linguistics (ACL); 2022. p. 51–61.
IEEE
[1]
E. De Geyndt et al., “SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis,” in Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, Dublin, Ireland, 2022, pp. 51–61.
@inproceedings{8753088,
  abstract     = {{In this paper, we present the SentEMO platform, a tool that provides aspect-based sentiment analysis and emotion detection of unstructured text data such as reviews, emails and customer care conversations. Currently, models have been trained for five domains and one general domain and are implemented in a pipeline approach, where the output of one model serves as the input for the next. The results are presented in three interactive dashboards, allowing companies to gain more insights into what stakeholders think of their products and services. The SentEMO platform is available at https://sentemo.ugent.be/(1).}},
  author       = {{De Geyndt, Ellen and De Clercq, Orphée and Van Hee, Cynthia and Lefever, Els and Singh, Pranaydeep and Parent, Olivier and Hoste, Veronique}},
  booktitle    = {{Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis}},
  editor       = {{Barnes, Jeremy and De Clercq, Orphée and Barriere, Valentin and Tafreshi, Shabnam and Alqahtani, Sawsan and Sedoc, João and Klinger, Roman and Balahur, Alexandra}},
  isbn         = {{9781955917520}},
  keywords     = {{LT3,EXTRACTION}},
  language     = {{eng}},
  location     = {{Dublin, Ireland}},
  pages        = {{51--61}},
  publisher    = {{Association for Computational Linguistics (ACL)}},
  title        = {{SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis}},
  url          = {{http://doi.org/10.18653/v1/2022.wassa-1.5}},
  year         = {{2022}},
}
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