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Offensive language identification with multi-task learning
The widespread presence of offensive content is a major issue in social media. This has
motivated the development of computational models to identify such content in posts or …
motivated the development of computational models to identify such content in posts or …
Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications
The emerging Web 3.0 paradigm aims to decentralize existing web services, enabling
desirable properties such as transparency, incentives, and privacy preservation. However …
desirable properties such as transparency, incentives, and privacy preservation. However …
[PDF][PDF] A Novel Sequential Pattern Mining Approach for User Emotion Detection with Application to Real-World Social Networks
MP Skënduli - 2021 - unytold.unyt.edu.al
Micro-blogging platforms have become a prominent source of public information, that
enables users to keep inter-personal relationships, but also to voice personal sensations …
enables users to keep inter-personal relationships, but also to voice personal sensations …