Neural Networks for Investments: AI Learns to Find Promising Projects

NSU's Development Will Be Useful for Economists and Public Administration Bodies

A system based on artificial intelligence (AI) that collects and analyzes data from open sources on investment projects has been developed at Novosibirsk State University (NSU). It can be used by economists and representatives of public administration bodies to monitor regional investment activity, the university's press service reported.

The intellectual system is based on natural language processing, machine and transfer learning, and web parsing (automated data collection). It includes 4 modules: a project implementation stage classifier, a prospect evaluation model, a text description generator, and a module for calculating invested funds.

There are currently no analogues of this intellectual system, despite the active development of neural networks and the growing need for their use in working with investment projects.
NSU Press Service

The authors stated that their development can prepare a project report in 3-4 hours. It would take a person at least a week for such research.

The intellectual system, researchers believe, will be in demand by investment agencies. It will also be of interest to employees of analytical departments of companies looking for promising projects.

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