Tag: text classification

A new DCNN and EResNet model achieved an F1 score of 91.70% on an in-house conversational dataset, 2.8% higher than ...

A hybrid BERT, BiLSTM and BiTCN model classified suicidal ideation in Spanish social media posts with F1-scores of 93.51% and ...

A hybrid wolf-pack optimization framework combining multi-leadership search with BERT-based and statistical text features achieved an F1 score of 0.8733 ...

A benchmark of 13 models on more than 47,000 English tweets found that TF-IDF-based Extra Trees led overall, while class-level ...

Deep inside the millions of electronic invoices that flow through Brazil's public health system every year, a quiet battle is ...

A validated large-scale audit of SEC advisory filings finds AI disclosed as a risk more often than as a capability, ...

A new open-source R workflow called SLR Suite integrates bibliometric analysis, dictionary-based TCCM coding, and reproducibility controls into a single ...

Researchers have built the first large-scale, psychiatrist-annotated Persian Twitter corpus for suicidal ideation and shown that machine-learning classifiers detect personal ...

A new study shows that lightweight transformer models can automatically classify the roles participants play in cyberbullying episodes, setting a ...

A new Riemannian framework called HyperSpectrum Geometry lets text classifiers bend the curvature of their semantic space, revealing that emotionally ...