Advancing minority stress detection with transformers: insights from the social media datasets [0.03%]
基于Transformer的弱势群体压力检测研究：来自社交媒体数据集的启示
Santosh Chapagain,Cory J Cascalheira,Shah Muhammad Hamdi et al.
Santosh Chapagain et al.
Individuals from sexual and gender minority groups experience disproportionately high rates of poor health outcomes and mental disorders compared to their heterosexual and cisgender counterparts, largely as a consequence of minority stress ...
Rense Corten,Laura Boeschoten,Thijs Carrière et al.
Rense Corten et al.
Despite the increasing popularity and societal relevance of mobile instant messenger services (MIMSs) such as WhatsApp, Telegram and Signal, the vast majority of the research on social media is focused on the "traditional" social media plat...
Applying a panel network formation model to limited partnership matching in the private capital market [0.03%]
基于私募股权市场有限合伙关系的板块网络构建模型及其应用研究
Yuanyuan Shang,Philip Leifeld
Yuanyuan Shang
In private capital investment, limited partners (LPs) and general partners (GPs) frequently encounter the challenge of finding suitable counterparts amid limited information, a process often hindered by market inefficiencies. This article a...
C-HDNet: A Fast Hyperdimensional Computing Based Method for Causal Effect Estimation from Networked Observational Data [0.03%]
基于超维计算的网络化观察数据因果效应估计的快速方法
Abhishek Dalvi,Neil Ashtekar,Vasant G Honavar
Abhishek Dalvi
We address the problem of estimating causal effects from observational data in the presence of network confounding, a setting where both treatment assignment and observed outcomes of individuals may be influenced by their neighbors within a...
Elly Hung,Anastasia Mantziou,Gesine Reinert
Elly Hung
Multivariate count time series arise in a wide range of applications, including the number of COVID-19 cases recorded each week in different counties of the Republic of Ireland. In this example, it is natural to view the counties as nodes i...
Comparing methods for creating a national random sample of twitter users [0.03%]
比较创建国家随机twitter用户样本的方法
Meysam Alizadeh,Darya Zare,Zeynab Samei et al.
Meysam Alizadeh et al.
Twitter data has been widely used by researchers across various social and computer science disciplines. A common aim when working with Twitter data is the construction of a random sample of users from a given country. However, while severa...
Tracking the structure and sentiment of vaccination discussions on Mumsnet [0.03%]
追踪Mumsnet上有关疫苗讨论的结构和情感变化
Miguel E P Silva,Rigina Skeva,Thomas House et al.
Miguel E P Silva et al.
Vaccination is one of the most impactful healthcare interventions in terms of lives saved at a given cost, leading the anti-vaccination movement to be identified as one of the top 10 threats to global health in 2019 by the World Health Orga...
Locating community smells in software development processes using higher-order network centralities [0.03%]
基于高阶网络中心性的软件开发过程社区气味定位研究
Christoph Gote,Vincenzo Perri,Christian Zingg et al.
Christoph Gote et al.
Community smells are negative patterns in software development teams' interactions that impede their ability to successfully create software. Examples are team members working in isolation, lack of communication and collaboration across dep...
Relation extraction: advancements through deep learning and entity-related features [0.03%]
基于深度学习和实体相关信息的远程监督关系抽取研究进展
Youwen Zhao,Xiangbo Yuan,Ye Yuan et al.
Youwen Zhao et al.
Capturing semantics and structure surrounding the target entity pair is crucial for relation extraction. The task is challenging due to the limited semantic elements and structural features of the target entity pair within a sentence. To ta...
Damian Frąszczak
Damian Frąszczak
Social media platforms are broadly used to exchange information by milliards of people worldwide. Each day people share a lot of their updates and opinions on various types of topics. Moreover, politicians also use it to share their postula...