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 ...
Abstract: This study addresses the unique challenges of sentiment analysis in Chinese massive open online course (MOOC) reviews, where pedagogically embedded language, intra-sentence sentiment shifts, ...
Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and ...
AI-powered stock movement predictor that analyzes real-time financial news and market data using LLMs, RAG pipelines, and vector databases to forecast short-term stock direction. Built with LangChain, ...
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 ...
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 ...