The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 27, 2024

Filed:

Dec. 09, 2021
Applicant:

Arizona Board of Regents on Behalf of Arizona State University, Tempe, AZ (US);

Inventors:

Lu Cheng, Tempe, AZ (US);

Kai Shu, Mesa, AZ (US);

Siqi Wu, Canberra, AU;

Yasin Silva, Glendale, AZ (US);

Deborah Hall, Phoenix, AZ (US);

Huan Liu, Tempe, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 51/52 (2022.01); G06N 3/088 (2023.01); G06F 40/30 (2020.01); H04L 51/212 (2022.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
H04L 51/52 (2022.05); G06F 40/30 (2020.01); G06N 3/088 (2013.01); H04L 51/212 (2022.05); H04L 67/535 (2022.05);
Abstract

A computer-implemented framework and/or system for cyberbullying detection is disclosed. The system includes two main components: (1) A representation learning network that encodes the social media session by exploiting multi-modal features, e.g., text, network, and time; and (2) a multi-task learning network that simultaneously fits the comment inter-arrival times and estimates the bullying likelihood based on a Gaussian Mixture Model. The system jointly optimizes the parameters of both components to overcome the shortcomings of decoupled training. The system includes an unsupervised cyberbullying detection model that not only experimentally outperforms the state-of-the-art unsupervised models, but also achieves competitive performance compared to supervised models.


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