Exploring Commercial Gentrification using Instagram Data
This paper proposes a novel method to estimate the status and progression of commercial gentrification in a target area using Instagram data by analyzing social features from images and texts, defining gentrification phases based on urban studies, and employing regression models for phase prediction, showing promising results for use by urban planners and policymakers.
Dec 7, 2020
Human Activity Recognition Using Semi-supervised Multi-modal DEC for Instagram Data
This paper proposes a semi-supervised multi-modal deep embedding clustering method for Human Activity Recognition (HAR) on Instagram, which combines supervised and unsupervised learning to leverage both labeled and unlabeled data, improving recognition accuracy and outperforming existing approaches.
May 6, 2020