Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models

Abdulaziz A. Almuzaini; Vivek K. Singh

doi:10.1145/3422841.3423536

Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models

Abdulaziz A. Almuzaini, Vivek K. Singh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia
Publisher	Association for Computing Machinery, Inc
Pages	13-19
Number of pages	7
ISBN (Electronic)	9781450381482
DOIs	https://doi.org/10.1145/3422841.3423536
State	Published - Oct 12 2020
Externally published	Yes
Event	2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia, FATE/MM 2020 - Virtual, Online, United States Duration: Oct 12 2020 → …

Publication series

Name	FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia

Conference

Conference	2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia, FATE/MM 2020
Country/Territory	United States
City	Virtual, Online
Period	10/12/20 → …

ASJC Scopus Subject Areas

Software
Computer Graphics and Computer-Aided Design
Human-Computer Interaction

Keywords

black-box models
fairness
fusion
sentiment analysis

Access to Document

10.1145/3422841.3423536

Cite this

Almuzaini, A. A., & Singh, V. K. (2020). Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models. In FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia (pp. 13-19). (FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia). Association for Computing Machinery, Inc. https://doi.org/10.1145/3422841.3423536

Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models. / Almuzaini, Abdulaziz A.; Singh, Vivek K.
FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia. Association for Computing Machinery, Inc, 2020. p. 13-19 (FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Almuzaini, AA & Singh, VK 2020, Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models. in FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia. FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia, Association for Computing Machinery, Inc, pp. 13-19, 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia, FATE/MM 2020, Virtual, Online, United States, 10/12/20. https://doi.org/10.1145/3422841.3423536

Almuzaini AA, Singh VK. Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models. In FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia. Association for Computing Machinery, Inc. 2020. p. 13-19. (FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia). doi: 10.1145/3422841.3423536

Almuzaini, Abdulaziz A. ; Singh, Vivek K. / Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models. FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia. Association for Computing Machinery, Inc, 2020. pp. 13-19 (FATE/MM 2020 - Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia).

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Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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