2023
doi: 10.12720/jait.14.1.145-152
Algorithm for Safety Decisions in Social Media Feeds Using Personification Patterns
Prema Pandurang Gawade*
,
Sarang Achyut Joshi
- Department of Computer Engineering, SCTR’S Pune Institute of Computer Technology, Savitribai Phule Pune University (SPPU), Pune, India
- Manuscript receivedJuly 18, 2022
- revisedSeptember 17, 2022
- acceptedSeptember 28, 2022
- publishedFebruary 27, 2023
Abstract
For safety decisions in social media applications, it is necessary to classify personification patterns. The paper proposes using video material to apply machine learning to select, and extract significant feature qualities and grasp the semantics of feature space connection to comprehend the personification of a certain user. The feature traits are based on a computer vision-based approach and a natural language-based approach. A strong belief is calculated from language descriptions and persona traits. These traits are then used to determine the overlap of feature space using various ML algorithms to deduce the intrinsic relationships. The proposed goal is validated by this algorithm and user personification is an important aspect that can be captured through video analytics. Using this personification-based method, better decisions can be made in the given domain space.
Keywords
- persona identification
- safety
- pattern
- machine learning
How to Cite
Prema Pandurang Gawade and Sarang Achyut Joshi, "Algorithm for Safety Decisions in Social Media Feeds Using Personification Patterns," Journal of Advances in Information Technology, vol. 14, no. 1, pp. 145-152, 2023. https://doi.org/10.12720/jait.14.1.145-152
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
