Experimental Study of Methods for Semantic Text Analysisal Study of Methods for Semantic Text Analysis

Student: Karina Malyshkina

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Final Grade: 9

Year of Graduation: 2024

This thesis deals with the development of a web service for semantic text analysis using modern machine learning methods. The work includes a comparative analysis of methods for extracting named entities, the development of a sequential algorithm that transforms input texts into a graphical representation of sentiment analysis results for text fragments associated with specific entities, and the creation of a user interface for visualizing the analysis results. The outcome of this work is the creation of a fully functional web service that demonstrates high efficiency and accuracy in analyzing large volumes of data, particularly from the social network Telegram, and can be applied in various practical fields, including academic and commercial research.

Full text (added May 14, 2024)

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