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Twitter User Representation Using Weakly Supervised Graph Embedding
[article]
2022
arXiv
pre-print
Social media platforms provide convenient means for users to participate in multiple online activities on various contents and create fast widespread interactions. However, this rapidly growing access has also increased the diverse information, and characterizing user types to understand people's lifestyle decisions shared in social media is challenging. In this paper, we propose a weakly supervised graph embedding based framework for understanding user types. We evaluate the user embedding
arXiv:2108.08988v3
fatcat:twwzp2d435h2zdidwkddjrh2he