From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
EurekAlert!

Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
SciELO

Cost-Sensitive Algorithms for Text Classification in the Legal Domain: Addressing Imbalanced Lawsuit Themes

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...
Scientific Research Publishing

Kowsari, K., Jafari Meimandi, K., Heidarysafa, M., Mendu, S., Barnes, L. and Brown, D. (2020) Text Classification Algorithms: A Survey. Information, 10, Article 150.

ABSTRACT: Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as ...
Scientific Research Publishing

Aggarwal, C.C. and Zhai, C. (2012) A Survey of Text Classification Algorithms. In: Mining Text Data, Springer, 163-222.

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...
IEEE

Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...