Link Analysis in Semantic Networks

Student: Martynov Nikita

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

Educational Programme: Applied Mathematics (Bachelor)

Final Grade: 10

Year of Graduation: 2020

This paper presents the task to construct and evaluate association networks from text corpora, as well as the detailed analysis of existing methods along with newly suggested approach. Several deep learning algorithms were considered, existing issues were revealed and probable solutions were proposed. The paper also outlines typical regression pitfalls and provide comprehensive way to employ all the perks of TripletLoss mechanism in the field of natural language processing. The paper accounts for 36 pages, 12 illustrations, 2 tables and appeals for 9 outer resources.

Full text (added May 23, 2020)

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