Abstract: This study scenario is to explore the 2023 presidential election via applying deep learning for social sentiment analysis. We compare several deep learning models, including CNN, RNN, and ...

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, ...

President Trump does not subscribe to the traditional notion of being president for all Americans. By Peter Baker Peter Baker has covered the past six presidencies. He reported from Washington. The ...

Abstract: Sentiment analysis is essential in social media analysis to understand user perspectives on various issues. Social media sentiment analysis through text, speech, and photos is increasingly ...