ANR-Lab Scientific Seminar 'Comparison of current approaches to the unstructured textual information analysis (stochastic blockmodeling, LDA and BERT models): Case study of discourse analysis in social media'

On July 31 at 18:00, ANR-Lab Research Assistant Vasilisa Vashchenko will make a presentation 'Comparison of current approaches to the unstructured textual information analysis (stochastic blockmodeling, LDA and BERT models): Case study of discourse analysis in social media' as part of the series of ANR-Lab scientific seminars 'Theoretical and methodological innovations in network analysis: new tools for managerial decision-making'.

Vasilisa will talk about different approaches to clustering texts on the example of social media data, show an example from her thesis and teach how to cluster unstructured text data yourself using Python.

Language: English

To attend the seminar, you need to register using the link (registration is common for all seminars in the series).

We will be glad to see everyone!