NLP

AGFF: Smarter News Classification with Attention-Guided Feature Fusion

Kari Jaaskelainen

24 Nov 2025 — 1 min read

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

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