Abstract: Text classification tasks aim to comprehend and classify text content into specific classifications. This task is crucial for interpreting unstructured text, making it a foundational task in ...

The Detroit Police Department issued a warning to the public regarding scam text messages that may appear to come from official sources. (Detroit Police Department) DETROIT – The Detroit Police ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Currently the examples in the documentation are limited to regression. Adding a simple example for classification on a relatively small dataset (two moons, MNIST, CIFAR10 etc.) would help illustrate ...

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Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

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 ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

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 ...

The world found out shortly before 2 p.m. eastern time on March 15 that the United States was bombing Houthi targets across Yemen. I, however, knew two hours before the first bombs exploded that the ...