Výsledky vyhledávání

Dissertation/ Thesis

Design an emotionally positive experience via sentiment classification for social media recommendation systems : A case study in TikTok

Autor: Deng, Yawen

Recommendation system benefits social media by attracting users with the posts they prefer. The recommended posts, however, may not align with what users really need to browse, especially in terms of emotion. Thus we conducted a case study in TikTok,

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-340021

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Akademický článek

Tax avoidance news, investor behavior, and stock market performance

Autor: Su, Qi, Deng, Yawen

Publikováno v: In Finance Research Letters September 2024 67 Part A

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Report

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification

Autor: Li, Xiaohe, Wen, Lijie, Deng, Yawen, Feng, Fuli, Hu, Xuming, Wang, Lei, Fan, Zide

Graph Neural Network (GNN) is an emerging technique for graph-based learning tasks such as node classification. In this work, we reveal the vulnerability of GNN to the imbalance of node labels. Traditional solutions for imbalanced classification (e.g

Externí odkaz: http://arxiv.org/abs/2202.02529

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