Analysis of User Texts Posted During the Coronavirus Pandemic

Student: Chelushkin Maxim

Supervisor: Ekaterina Artemova

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2021

In March of 2020, the World Health Organization declared an outbreak of the coronavirus infection COVID-19. The coronavirus pandemic has struck the world and dramatically changed people's perspective on everyday life. We intended to analyze how the most popular covid-related topics discussed in social media evolved during the pandemic. We propose an approach to process user texts from social networks for topic modeling and sentiment analysis. The results show how different topics are distributed in time and allow us to understand the correlation between each topic and covid-related events.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses