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 analyzing keywords.

摘要： 随着自动化技术防御体系的完善，网络攻击者正转向利用社会工程学进行高收益的人工渗透。2026年的最新安全态势显示，语音钓鱼（Vishing）已超越传统邮件钓鱼，成为企业网络入侵的第二大攻击向量，占比达11%。本文基于Mandiant最新的威胁情报报告，深入剖析了攻击者如何利用“IT部门”身份冒充，通过语音诱导绕过多因素认证（MFA）的技术细节。研究指出，传统的基于边界的安全模型已失效，攻击者 ...

Join us for an engaging hands‑on workshop led by Vasundhara Kaul, Postdoctoral Research Associate, on Measuring Emotion in Text: Sentiment Analysis with Python. Participants will explore the ...

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.

Celebrities, magazines and retail stores say yes. But are we all fooling ourselves? By Vanessa Friedman See more of our coverage in your search results.Encuentra más de nuestra cobertura en los ...

This is a comprehensive data solution designed to streamline the collection, transformation, and analysis of financial data related to gold as a commodity for investment portfolio management. A ...

BERT-Sentiment-Analysis: A project using BERT-based models to perform sentiment analysis on multilingual text data, with examples in Arabic and English. This repository demonstrates loading, ...

Abstract: Hinglish has some problems in sentiment analysis in terms of code-switching, informal writing, and transliteration. Such linguistic complexity is usually out of the scope of conventional NLP ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...