Information fusion boosts document classification accuracy, review finds

A systematic review of 139 studies on information fusion for document classification reveals that integrating multiple data sources or representations significantly boosts accuracy. Multimodal fusion, in particular, shows a mean accuracy gain of 5.28 percentage points. However, the review highlights a critical lack of reproducibility, with a small percentage of studies employing statistical tests to validate their findings, undermining the reliability of many results. AI

IMPACT Provides a quantitative synthesis of information fusion techniques for document classification, highlighting accuracy gains and reproducibility challenges.

RANK_REASON The cluster contains a systematic review paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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• Information fusion
• Marcin Mirończuk Mirończuk

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