Enhancing the aspect robustness score of the HAABSA++ model using adversarial training

author
Agha, Milad
Zhu, Beilly
statement of authorship
Milad Agha, Flavius Frasincar, Beilly Zhu & Tarmo Robal
source
Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 : Proceedings
publisher
year of publication
pages
p. 89-103
series
Lecture notes in computer science ; 15749
conference name, date
25th International Conference, The Inclusive Web : Realizing Safe, Accessible, Inclusive, and Sustainable Web Engineering (ICWE 2025), June 30 – July 3, 2025
conference location
Delft, The Netherlands
ISSN
0302-9743
ISBN
978-3-031-97206-5
scientific publication
teaduspublikatsioon
language
English
keyword
critical psychology
psychometrics
security science and technology
system robustness
assessment and testing
Agha, M., Frasincar, F., Zhu, B., Robal, T. Enhancing the aspect robustness score of the HAABSA++ model using adversarial training // Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 : Proceedings. : Springer, 2026. p. 89-103. (Lecture notes in computer science ; 15749). https://doi.org/10.1007/978-3-031-97207-2 https://link.springer.com/chapter/10.1007/978-3-031-97207-2_7