Abstract: For effective information management and decision support, corporate email traffic must be automatically classified. The Enron email dataset, which has 1,321 messages that were manually ...

Topic modelling, primarily using Latent Dirichlet Allocation (LDA) algorithm, was employed to uncover latent themes in patient feedback, compare patient experiences across different healthcare ...

A profiling toolkit for measuring the performance of Unstructured's document partition pipeline. It runs your documents through the partition engine under three complementary profilers — time ...

Your blueprint for better Python architecture. pattern_kit is a developer-friendly Python library offering clean, idiomatic implementations of common software design patterns. It focuses on real-world ...

Keeping Docker containers updated was manageable when I only had a few services. But as my setup grew, things quickly got messy. Each container has its own tags and release cycles, which means that I ...

Cybersecurity researchers have disclosed details of a now-patched security flaw impacting Ask Gordon, an artificial intelligence (AI) assistant built into Docker Desktop and the Docker Command-Line ...

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Abstract: High-performance sparse matrix-matrix (SpMM) multiplication is paramount for science and industry, as the ever-increasing sizes of data prohibit using dense data structures. Yet, existing ...

To detect major bleeding (MB) and clinically relevant non-major bleeding (CRNMB) events, rule-based algorithms were developed using structured data (ICD-10-GM codes, laboratory values, transfusion ...