Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

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 ...

Abstract: Sentiment analysis within Online Social Networks (OSNs) becomes a major challenge. Mainly, because of the large amount of data on social networks and the mix of different languages that can ...

Vulnerabilities tracked through Common Vulnerabilities and Exposures (CVE) records are increasing at a record pace. In the first half of 2025, over 130 CVEs were disclosed per day—an 18% increase year ...

Shekar Munirathnam is a Senior Advanced Cyber Security Architect specializing in Identity and Access Management and Enterprise Security Architecture ...

An end-to-end NLP pipeline that analyzes customer support call transcripts using Azure OpenAI (GPT-4o-mini) for sentiment scoring, call categorization, and agent performance evaluation — with ...

Researchers say they’ve discovered a supply-chain attack flooding repositories with malicious packages that contain invisible code, a technique that’s flummoxing traditional defenses designed to ...