For over two decades in the HR industry, I have witnessed the shifts and changes in how organizations identify and secure talent. The transition from handwritten applications to digital resumes was ...

Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and ...

This repository contains the code and analysis pipeline for studying vaccine-related sentiment in Alaska, with a focus on comparing urban and rural perspectives through social media analysis and ...

Abstract: The prevailing techniques in textual sentiment analysis include convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) networks, and attention mechanisms.

Abstract: Sentiment analysis plays a crucial role in under-standing opinions and societal trends, but it encounters chal-lenges when dealing with code-mixed text, which blends multiple languages.

This study was conducted as an in silico descriptive and comparative analysis using publicly available nucleotide sequences retrieved from GenBank. The analytical workflow integrates sequence curation ...