Online Text

Online text analysis is a rapidly evolving field focused on extracting knowledge and insights from vast digital text corpora. Current research emphasizes developing and applying advanced machine learning models, such as large language models (LLMs) and transformer architectures, to tasks ranging from authorship obfuscation and topic classification to the construction of knowledge graphs from unstructured data. These advancements are driving progress in diverse areas, including historical research, public health (e.g., problem gambling detection), and food safety, by enabling efficient analysis of large-scale datasets and improving the accuracy of information extraction.