A comprehensive systematic review of literature from 2018 to 2025 reveals that while deep learning achieves high benchmark accuracy for weed classification, significant technological and environmental ...

CalMatters analysis of campaign finance contributors helped uncover some of the major influences behind the propositions on Californians’ ballots this year.

Researchers evaluating robotic process automation discovery found that simple word-level text classifiers match complex ...

Two-stage ABSA pipeline in PyTorch & Transformers: extracts product attributes (ATE) and classifies aspect polarities (ASC) using BERT on Women's Clothing and SemEval benchmarks.

The last time 96-year-old Audrey Staniland was assessed for in-home aged care funding was with a human clinician more than a decade ago. When her daughter applied for a reassessment late last year, ...

Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...

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 Kiswahili.

AI-powered Resume Screener using Scikit-learn, featuring text preprocessing, TF-IDF vectorization, and ML models (Logistic Regression, SVM, Random Forest) to classify and rank resumes for automated ...

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 ...