David Dukić is a PhD student and a Research Assistant at TakeLab FER. He specializes in domain transfer of information extraction tasks in natural language processing. Additionally, David’s research interests include computational social science, author profiling, and semantic textual similarity.
David is a co-creator of TakeLab Retriever, a cutting-edge platform that utilizes text mining algorithms and large language models for the automated semantic analysis and concise presentation of articles from Croatian web portals.
TakeLab Retriever: Your AI-Powered Guide to Croatian News Insights!
News articles are rich with valuable information about entities, events, and topics. In today’s fast-paced world, news articles are being published rapidly, overwhelming readers with their sheer volume. To aid academics in analyzing media and making sense of approximately eight million Croatian articles published online in the last two decades, we developed TakeLab Retriever. This cutting-edge platform utilizes advanced text mining techniques to index articles from Croatian news outlets, enabling users to access this wealth of knowledge through a user-friendly web application.
While Retriever is primarily designed for political scientists, media analysts, psychologists, and sociologists, it can be used by anyone to find trends, patterns, and correlations, which are otherwise inscrutable when searching with other general-purpose search engines.
With TakeLab Retriever, you can effortlessly analyze articles based on phrases, organizations, people, locations, topics, sentiment, and more. Step into the world of cutting-edge semantic analysis and uncover the hidden depths of Croatian news like never before!
You can try it out today for free at https://retriever.takelab.fer.hr/.