The Next Web

Theia Insights raises $8M to replace the static industry classification systems

Cambridge AI startup Theia Insights has raised $8M to scale its dynamic company classification platform for financial markets ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
ebm.bmj

Toward automating GRADE classification: a proof-of-concept evaluation of an artificial intelligence-based tool for semiautomated evidence quality rating in systematic reviews

Background Evaluation of the quality of evidence in systematic reviews (SRs) is essential for assertive decision-making. Although Grading of Recommendations Assessment, Development and Evaluation ...
Frontiers

Diagnostic precision of a deep learning algorithm for the classification of non-contrast brain CT reports

A total of 1,861 non-contrast brain CT reports were randomly selected, anonymized, and annotated for urgency level by two radiologists, with review by a senior radiologist. The data, encrypted and ...
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 ...
Scientific Research Publishing

Kowsari, K., Jafari Meimandi, K., Heidarysafa, M., Mendu, S., Barnes, L. and Brown, D. (2019) Text Classification Algorithms: A Survey. Information, 10, Article 150.

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 ...