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An AI-driven approach to measure corporate and CEO reputation using Aspect-Based Sentiment Analysis on news articles
An AI-driven approach to measure corporate and CEO reputation using Aspect-Based Sentiment Analysis on news articles
Repdex is an innovative project that leverages advanced language models like GPT-4o, Claude 3.5, or Llama 3.1 through LangChain to perform Aspect-Based Sentiment Analysis (ABSA) on news articles. It aims to quantify and analyze the reputation of companies and their CEOs, providing valuable insights for corporate communications teams, investors, analysts, and researchers.
See the CHANGELOG for more information.
Contributions are welcome! Please see the contributing guidelines for more information.
This project is released under the MIT License.
FAQs
An AI-driven approach to measure corporate and CEO reputation using Aspect-Based Sentiment Analysis on news articles
We found that repdex demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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