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 ...

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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.

Newly available videos and existing footage synchronized and assessed by The Times provide a frame-by-frame look at how an ICE officer ended up shooting and killing a motorist in Minneapolis. By The ...

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, ...

Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of ...

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 ...