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.

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 ...