Eight AI bots contribute about 10 percent of the platform’s “Community Notes.” “We’ve definitely seen Community Notes in the past that have been inaccurate,” said Sofia Rubinson, a senior editor at ...

Abstract: Twitter is a platform where users may post texts known as "tweets." They may be examined to determine their implications and meanings. Among these techniques, sentiment analysis is perhaps ...

1 Department of Health Data Science and Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, United States 2 Department of Bioinformatics, University of Texas Southwestern ...

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Introduction: The COVID–19 pandemic has profoundly affected mental health, with lockdown periods particularly exacerbating negative emotions such as fear, sadness, and uncertainty. This study examines ...

Accurate prediction of stock prices remains a fundamental challenge in financial markets, with substantial implications for investment strategies and decision making. Although machine learning and ...

DESCRIPTION: This project focuses on classifying the sentiment of tweets into Positive, Neutral, or Negative using natural language processing and machine learning. The dataset contains real-world ...

In this tutorial, we will look into how to easily perform sentiment analysis on text data using IBM’s open-source Granite 3B model integrated with Hugging Face Transformers. Sentiment analysis, a ...

Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...