As Louisiana prepares to implement a statewide computer science graduation requirement, students at the Louisiana School for ...

What if the tool you’ve been waiting for could not only catch errors in your Python code instantly but also handle millions of lines with lightning speed? Enter Pyrefly, Meta’s latest innovation in ...

Abstract: The prevailing techniques in textual sentiment analysis include convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) networks, and attention mechanisms.

Introduction: China had been implementing stringent dynamic policies during the COVID-19 pandemic. In late 2022, China made a sudden policy shift from its three-year dynamic zero-COVID to the ...

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea Department of Chemistry, Seoul National University, Seoul ...

Introduction: As digital games become an important medium for global cultural dissemination, social media platforms have gradually become the primary space for players to express emotions and interact ...

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 ...

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

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 ...

Trader-Performance-and-Market-Sentiment-Analysis This repository contains a Python script to analyze the relationship between trader performance and market sentiment. The script processes Excel ...