Isa Maks

Isa Maks serves as Assistant Professor at Vrije Universiteit Amsterdam's Faculty of Social Sciences and Humanities and the Network Institute, specializing in computational approaches to language analysis. Her work bridges computer science and humanities through advanced text mining techniques applied to social phenomena.

Research focuses include:

• Natural Language Processing
• Sentiment Analysis and Opinion Mining
• Corpus Linguistics
• Content Moderation Systems
• Annotation of Subjective Language
• Visual Analytics for Linguistic Uncertainty

Her publication trajectory (2018-2024) demonstrates consistent innovation in annotation methodologies, particularly for detecting toxic language spans, analyzing vaccination discourse perspectives, and identifying discriminatory patterns in job markets. Key contributions address the challenges of contextual subjectivity in social media content.

As Project Researcher for CLARIAH (2015-2019) and 'Visualizing Uncertainty and Perspectives' (2015-2017), she contributed to major digital humanities infrastructure. Current teaching includes 'Applied Text Mining' and 'Subjectivity Mining' courses, while her Network Institute affiliation facilitates interdisciplinary collaboration on digital society challenges.