Martina Katalin Szabó
Biographic Data
| ID | 6205025 |
|---|---|
| NAME | Martina Katalin Szabó |
| GIVEN NAMES | Martina Katalin |
| FAMILY NAME | Szabó |
| SIGNATURE | SZABÓ M K |
| AFFILIATIONS | Computational Social Science – Research Center for Educational and Network Studies (CSS-RECENS), Centre for Social Sciences, Budapest, Hungary |
| ORCID | 0000-0002-4192-4352 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease
In this article, we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech transcripts, focusing only on linguistic features. In addition to the features examined in our earlier study, we introduce syntactic, semantic, and pragmatic features of spontaneous speech that might affect the detection of dementia. In order to ascertain the most useful feature…
Exploring the dynamic changes of key concepts of the Hungarian socialist era with natural language processing methods
The analysis of social discourses from the perspective of historical changes deserves special attention. Such a study could play a key role in revealing social changes and latent narrative of those in power; and understanding the underlying social dynamic in a given period. Until the recent years, such issues were analyzed mainly in a qualitative approach. In our paper we present a new way of revealing/discovering and interpreting social discours…
Exploring the dynamic changes of key concepts of the Hungarian socialist era with natural language processing methods
The analysis of social discourses from the perspective of historical changes deserves special attention. Such a study could play a key role in revealing social changes and latent narrative of those in power; and understanding the underlying social dynamic in a given period. Until the recent years, such issues were analyzed mainly in a qualitative approach. In our paper we present a new way of revealing/discovering and interpreting social discours…
Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease
In this article, we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech transcripts, focusing only on linguistic features. In addition to the features examined in our earlier study, we introduce syntactic, semantic, and pragmatic features of spontaneous speech that might affect the detection of dementia. In order to ascertain the most useful feature…
Exploring the dynamic changes of key concepts of the Hungarian socialist era with natural language processing methods
The analysis of social discourses from the perspective of historical changes deserves special attention. Such a study could play a key role in revealing social changes and latent narrative of those in power; and understanding the underlying social dynamic in a given period. Until the recent years, such issues were analyzed mainly in a qualitative approach. In our paper we present a new way of revealing/discovering and interpreting social discours…
Artificial Intelligence (2 works) · Computer Science (2 works) · Linguistics (2 works) · Natural Language Processing Techniques (2 works) · Topic Modeling (2 works) · Aesthetics (1 works) · Affect (linguistics (1 works) · Authorship Attribution and Profiling (1 works) · Class (philosophy (1 works) · Cognition (1 works)