AGFF: Smarter News Classification with Attention-Guided Feature Fusion
Smarter news sorting
Classifying news articles is tricky: simple stats like term frequency catch key words, while deep models capture context. AGFF (Attention‑Guided Feature Fusion) blends both—and uses attention to decide, per article, which signal to trust more.
- Fuses statistical features (e.g., TF‑IDF) with semantic representations from deep models.
- Attention module dynamically weights each feature type for better decisions.
- Beats classic bag‑of‑words and pure deep baselines on benchmark news datasets.
- Ablation studies show every component meaningfully boosts accuracy.
Why it matters: more accurate topic tags mean cleaner feeds, faster moderation, and better search—without throwing away the power of simple indicators.
By Mohammad Zare. Paper: https://arxiv.org/abs/2511.17184v1
Paper: https://arxiv.org/abs/2511.17184v1
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NLP AI AGFF NewsClassification DeepLearning Attention MachineLearning InformationRetrieval TextMining
