Extracting Objects from Text Describing an Image Using Machine Learning Methods

Student: Gerasimov Vladislav

Supervisor: Filipp Ulyankin

Educational Programme: Machine Learning and Data-Intensive Systems (Master)

Final Grade: 8

Year of Graduation: 2024

The work is devoted to the development of an application for extracting objects and their descriptions from text using machine learning methods. The main task is to develop a simple and effective web application in which the user enters text and receives the result in a specified JSON format. The paper describes the proposed approaches to solving the problem using machine learning and conducted experiments. To solve the problem, it is necessary to develop methods for finding words denoting objects and words describing objects, as well as to implement a mechanism for finding connections between words. The result is a web application with a micro-service architecture, deployed on a virtual machine using docker-compose or Kubernetes.

Full text (added June 3, 2024)

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