Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
1 file | 575.71 KB
Add to list
  1. Search results
  2. Text mining the 'talk of literature' ...

Text mining the 'talk of literature' surrounding the Ingeborg-Bachmann-Preis : a case study in domain adaptation for German-language aspect-based sentiment analysis

Lore De Greve (UGent) , Gunther Martens (UGent) , Veronique Hoste (UGent) , Lars Bernaerts (UGent) , Daan Vandenhaute (UGent) and Henk Roose (UGent)
(2022) LW Research Day, 3rd, Abstracts.
Author
Organization
Project
Keywords
Digital Humanities, BERT, Literary Prizes, Aspect-Based Sentiment Analysis, Sentiment Mining, Ingeborg-Bachmann-Preis, Social Media, Twitter, Literature, LT3

Downloads

  • Download
    DeGreve Poster LW-Research-Day.pdf
    • full text (Author's original)
    • |
    • open access
    • |
    • PDF
    • |
    • 575.71 KB

Citation

Please use this url to cite or link to this publication:

MLA
De Greve, Lore, et al. “Text Mining the ‘talk of Literature’ Surrounding the Ingeborg-Bachmann-Preis : A Case Study in Domain Adaptation for German-Language Aspect-Based Sentiment Analysis.” LW Research Day, 3rd, Abstracts, 2022.
APA
De Greve, L., Martens, G., Hoste, V., Bernaerts, L., Vandenhaute, D., & Roose, H. (2022). Text mining the “talk of literature” surrounding the Ingeborg-Bachmann-Preis : a case study in domain adaptation for German-language aspect-based sentiment analysis. LW Research Day, 3rd, Abstracts. Presented at the 3rd LW Research Day, Ghent University (Rozier, Faculty Library).
Chicago author-date
De Greve, Lore, Gunther Martens, Veronique Hoste, Lars Bernaerts, Daan Vandenhaute, and Henk Roose. 2022. “Text Mining the ‘talk of Literature’ Surrounding the Ingeborg-Bachmann-Preis : A Case Study in Domain Adaptation for German-Language Aspect-Based Sentiment Analysis.” In LW Research Day, 3rd, Abstracts.
Chicago author-date (all authors)
De Greve, Lore, Gunther Martens, Veronique Hoste, Lars Bernaerts, Daan Vandenhaute, and Henk Roose. 2022. “Text Mining the ‘talk of Literature’ Surrounding the Ingeborg-Bachmann-Preis : A Case Study in Domain Adaptation for German-Language Aspect-Based Sentiment Analysis.” In LW Research Day, 3rd, Abstracts.
Vancouver
1.
De Greve L, Martens G, Hoste V, Bernaerts L, Vandenhaute D, Roose H. Text mining the “talk of literature” surrounding the Ingeborg-Bachmann-Preis : a case study in domain adaptation for German-language aspect-based sentiment analysis. In: LW Research Day, 3rd, Abstracts. 2022.
IEEE
[1]
L. De Greve, G. Martens, V. Hoste, L. Bernaerts, D. Vandenhaute, and H. Roose, “Text mining the ‘talk of literature’ surrounding the Ingeborg-Bachmann-Preis : a case study in domain adaptation for German-language aspect-based sentiment analysis,” in LW Research Day, 3rd, Abstracts, Ghent University (Rozier, Faculty Library), 2022.
@inproceedings{8751405,
  author       = {{De Greve, Lore and Martens, Gunther and Hoste, Veronique and Bernaerts, Lars and Vandenhaute, Daan and Roose, Henk}},
  booktitle    = {{LW Research Day, 3rd, Abstracts}},
  keywords     = {{Digital Humanities,BERT,Literary Prizes,Aspect-Based Sentiment Analysis,Sentiment Mining,Ingeborg-Bachmann-Preis,Social Media,Twitter,Literature,LT3}},
  language     = {{eng}},
  location     = {{Ghent University (Rozier, Faculty Library)}},
  title        = {{Text mining the 'talk of literature' surrounding the Ingeborg-Bachmann-Preis : a case study in domain adaptation for German-language aspect-based sentiment analysis}},
  url          = {{https://www.lwresearchday.ugent.be/posters-2022/}},
  year         = {{2022}},
}