The field of authorship attribution and textual analysis has undergone considerable refinement in recent years, driven by advancements in computational methods and machine learning. Researchers ...

Potential area(s) of collaboration: TEI; GIS; concordance (like AConCord); transliteration; construction of parallel corpora; digital lexicography (e.g., https ...

Large bodies of text – in political speeches, social media posts, policy documents, and so on – are significant and useful data sources for social science research. Textual data analysis is a growing ...

The volumes of text data generated in the marketplace can be valuable in generating marketing insights using the newest text analysis methods and technologies. Researchers from University of ...