Abstract: Massively amounts of text data have been created on the Internet due to the widespread use of platforms like social media. Text classification is one of the most frequently used techniques ...

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 ...

Corporate climate action at Davos evident but relegated to side rooms Mark Carney signalled that business silence on climate cedes space to others Water a key issue amid AI data centre concerns and ...

An ongoing smishing campaign is targeting New Yorkers with text messages posing as the Department of Taxation and Finance, claiming to offer "Inflation Refunds" in an attempt to steal victims' ...

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 ...