Research Interests
As a linguist and NLP researcher, my work bridges the fields of sociolinguistics, computational linguistics, and mental health. A central focus of my research is understanding how linguistic usage patterns reflect individuals' social and cognitive dimensions.
Currently, I am engaged in two major research areas. The first focuses on the intersection of language and mental health, where I analyze linguistic markers associated with various mental health conditions, such as stroke, dysarthria, schizophrenia, bipolar disorder, and dementia, through computational methods. This research investigates how language use reflects cognitive states and contributes to understanding the linguistic dimensions of these disorders, including the effects of depression and anxiety on language production. A key objective of this work is to enable the prediction of certain psychological states using NLP methods and tools based on linguistic characteristics.
The second area of my research examines the relationship between sociological status and linguistic behavior in online environments. In this project, I utilize large-scale Facebook data and NLP analysis techniques to investigate how linguistic traits correlate with users' socioeconomic status. Additionally, I explore how these linguistic factors position users within a model, providing insights into social strata beyond mere prediction. By uncovering these correlations, the study can enhance our understanding of the interrelations between social inequalities and digital literacy, providing insights into the relationship between language and social dynamics.