The North Caucasus Federal University (NCFU) has developed artificial intelligence (AI) to predict inflation based on news data. This was reported by the university's press service.
The resulting system helps to make three inflation forecasts: short-term (for a month), medium-term (for a quarter), and long-term (for a year).
To create the model, scientists collected and labeled data, using scripts for automated article collection and manual classification by key parameters. This allowed them to form a balanced dataset and helped to avoid bias in the model. The new analysis system demonstrated high classification accuracy — 93%.
Our project has confirmed the effectiveness of using machine learning for economic analysis. In the future, we plan to regularly update the data and use more complex architectures.
In the future, such a system may be useful for business representatives.
Earlier, www1.ru reported that a system for predicting stock price growth was developed in Moscow.
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