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I specialise in text mining and over the last eight years obtaining access to data has been crucial for doing the work I do. More recently, I have been part of many digital humanities projects, including Trading Consequences and Palimpsest, where we mined a series of different textual sources from archives and libraries.
The Historic Newspapers collection of the European Library website gives access to 10 million European digitised newspaper pages. While the availability and accessibility of this rich material are a great addition to the Digital Humanities (DH) researcher corpus, it is quite a challenge exploring such a vast amount of data.
The increasing use of digital methods in the humanities and social sciences as well as the proliferation of various digital humanities initiatives the last decades have created an important need for evidenced-based data on the use of digital methods and tools by Humanists and Social Scientists.
Over the last several years, there has been an increasing interest in large-scale, computational, quantitative investigations into European literary history. Scholars working on texts from many different European literary traditions are using tools and services from computational linguistics, adapting methods from computer science and statistics, and developing new tools and methods for their research.