Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

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 ...

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...

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, ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

The final, formatted version of the article will be published soon. The growing dependence on real-time social media data for situational awareness during disasters highlights the need for ...