Margarita Kirina

According to our database, Margarita Kirina authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2024

Past Voices, Present Insights: Sociolinguistic Research through Literary Artifacts.

Tatiana Y. Sherstinova, Elizaveta Ziulkova, Margarita Kirina

Proceedings of the 35th Conference of Open Innovations Association, 2024

2023

Sentiment Analysis of Literary Texts vs. Reader's Emotional Responses.

Tatiana Y. Sherstinova, Anna Moskvina, Margarita Kirina, Asya Karysheva, Evgenia Kolpashchikova, Polina Maksimenko, Anastasia Seinova, Ruslan Rodionov

Proceedings of the 33rd Conference of Open Innovations Association, 2023

2022

Topic Modeling of Literary Texts Using LDA: on the Influence of Linguistic Preprocessing on Model Interpretability.

Tatiana Y. Sherstinova, Anna Moskvina, Margarita Kirina, Irina Zavyalova, Asya Karysheva, Evgenia Kolpashchikova, Polina Maksimenko, Alena Moskalenko

Proceedings of the 31st Conference of Open Innovations Association, 2022

Opinion Mining for Modeling User Experience of Online Education: Sentiment Analysis and Keywords Extraction of Student Reviews.

Anna Moskvina, Margarita Kirina, Anastasia Gavrilyuk

Proceedings of the 32nd Conference of Open Innovations Association, 2022

2021

Defining Kinds of Violence in Russian Short Stories of 1900-1930: A Case of Topic Modelling With LDA and PCA.

Ekaterina Gryaznova, Margarita Kirina

Proceedings of the International Conference "Internet and Modern Society" (IMS-2021), 2021

Towards Automatic Modelling of Thematic Domains of a National Literature: Technical Issues in the Case of Russian.

Tatiana Y. Sherstinova, Anna Moskvina, Margarita Kirina

Proceedings of the 29th Conference of Open Innovations Association, 2021

2020

Topic Modelling with NMF vs. Expert Topic Annotation: The Case Study of Russian Fiction.

Tatiana Y. Sherstinova, Olga Mitrofanova, Tatiana Skrebtsova, Ekaterina Zamiraylova, Margarita Kirina

Proceedings of the Advances in Computational Intelligence, 2020