X-Posts Explained: Analyzing and Predicting Controversial Contributions in Thematically Diverse Reddit Forums
PulseAugur coverage of X-Posts Explained: Analyzing and Predicting Controversial Contributions in Thematically Diverse Reddit Forums — every cluster mentioning X-Posts Explained: Analyzing and Predicting Controversial Contributions in Thematically Diverse Reddit Forums across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Domain-specific pretraining boosts Transformer performance on Arabic-English code-switching
A new study published on arXiv explores the impact of domain-specific pretraining on Transformer models for analyzing Arabic-English code-switching. The research evaluated MARBERT and XLM-RoBERTa, with BERT as a baselin…
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New model detects hazard information in text, applied to geopolitical events
Researchers have developed a new model to detect information about hazards in text, which is often overlooked compared to sentiment or emotion analysis. This model, trained on a dataset of X posts, performs well and ext…