Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Karjus, A"'
Autor:
Karjus, Andres
This study analyzes how economic, demographic, and geographic factors predict the representation of different countries in the global film festival circuit. It relies on the combination of several open-access databases, including festival programming
Externí odkaz:
http://arxiv.org/abs/2407.10755
The notion of visual similarity is essential for computer vision, and in applications and studies revolving around vector embeddings of images. However, the scarcity of benchmark datasets poses a significant hurdle in exploring how these models perce
Externí odkaz:
http://arxiv.org/abs/2406.01278
Autor:
Karjus, Andres
The increasing capacities of large language models (LLMs) have been shown to present an unprecedented opportunity to scale up data analytics in the humanities and social sciences, by automating complex qualitative tasks otherwise typically carried ou
Externí odkaz:
http://arxiv.org/abs/2309.14379
Autor:
Karjus, Andres, Cuskley, Christine
Language change is influenced by many factors, but often starts from synchronic variation, where multiple linguistic patterns or forms coexist, or where different speech communities use language in increasingly different ways. Besides regional or eco
Externí odkaz:
http://arxiv.org/abs/2309.01659
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract This paper explores the gendered differences between men and women as perceived through the images on the online dating platform Tinder. While personal images on Instagram, Tumblr, and Facebook have been studied en masse, large-scale studies
Externí odkaz:
https://doaj.org/article/3a419998959b43b987158c2492f05b35
Language change is a cultural evolutionary process in which variants of linguistic variables change in frequency through processes analogous to mutation, selection and genetic drift. In this work, we apply a recently-introduced method to corpus data
Externí odkaz:
http://arxiv.org/abs/2305.15914
Automated stance detection and related machine learning methods can provide useful insights for media monitoring and academic research. Many of these approaches require annotated training datasets, which limits their applicability for languages where
Externí odkaz:
http://arxiv.org/abs/2305.13047
We introduce the Collection Space Navigator (CSN), a browser-based visualization tool to explore, research, and curate large collections of visual digital artifacts that are associated with multidimensional data, such as vector embeddings or tables o
Externí odkaz:
http://arxiv.org/abs/2305.06809
Autor:
Mila Oiva, Ksenia Mukhina, Vejune Zemaityte, Andres Karjus, Mikhail Tamm, Tillmann Ohm, Mark Mets, Daniel Chávez Heras, Mar Canet Sola, Helena Hanna Juht, Maximilian Schich
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Audiovisual news is a critical cultural phenomenon that has been influencing audience worldviews for more than a hundred years. To understand historical trends in multimodal audiovisual news, we need to explore them longitudinally using larg
Externí odkaz:
https://doaj.org/article/250117942369494cae69ec7b8577f957
Autor:
Andres Karjus, Christine Cuskley
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Language change is influenced by many factors, but often starts from synchronic variation, where multiple linguistic patterns or forms coexist, or where different speech communities use language in increasingly different ways. Besides region
Externí odkaz:
https://doaj.org/article/e3e5ae977d2f4d25ae32d225db7ea2bd