Textual Pre-Trained Models for Gender Identification Across Community Question-Answering Members
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3235735
Abstract: Promoting engagement and participation is vital for online social networks such as community Question-Answering (cQA) sites. One way of increasing the contribution of their members is by connecting their content with the right target audience.… read more here.
Keywords: community question; identification across; community; gender identification ... See more keywords
Relevancy Identification Across Languages and Crisis Types
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DOI: 10.1109/mis.2019.2917443
Abstract: Social media plays a vital role in information sharing during disasters. Unfortunately, the overwhelming volume and variety of data generated on social media make it challenging to sieve through such content manually and determine its… read more here.
Keywords: identification across; across languages; relevancy identification; crisis ... See more keywords
User Identification Across Multiple Social Networks Based on Naive Bayes Model.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3202709
Abstract: Recently, the problem of user identification across multiple social networks (UIAMSNs) has attracted considerable attention since it is a prerequisite for many downstream tasks and applications. Although substantial network feature-based approaches have been proposed to… read more here.
Keywords: user identification; bayes model; identification across; based naive ... See more keywords
A Multiple Salient Features-Based User Identification across Social Media
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DOI: 10.3390/e24040495
Abstract: Identifying users across social media has practical applications in many research areas, such as user behavior prediction, commercial recommendation systems, and information retrieval. In this paper, we propose a multiple salient features-based user identification across… read more here.
Keywords: across social; social media; multiple salient; user identification ... See more keywords