Objectives The role of social media as a source of timely and massive information has
become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …

Digitization and computer science have established a completely new set of methods with
which to analyze large collections of texts. One of these methods is particularly promising for …

The clinical notes in a given patient record contain much redundancy, in large part due to
clinicians' documentation habit of copying from previous notes in the record and pasting into …

Bruce Ackerman argues that major shifts in constitutional law can occur outside the Article V
amendment process when there are unusually high levels of sustained popular attention to …

Historical documents pose a challenge for character recognition due to various reasons
such as font disparities across different materials, lack of orthographic standards where …

International Management is a vast and multidisciplinary research domain that is heavily
influenced by several other disciplines, such as Economics, Organizational Theory and …

The quality of Optical Character Recognition (OCR) is a decisive factor for the application of
text mining techniques on historical newspapers (Chiron et al., 2017; Walker et al., 2010; …

The analysis of spoken language has been integral to a breadth of research in social
science and beyond. However, for analyses to occur with efficiency, language must be in the …

Word embeddings are a form of distributional semantics increasingly popular for
investigating lexical semantic change. However, typical training algorithms are probabilistic …

Thischapterhighlightstheimportanceofflexibl…. InSection1. 1,
weprovideanoverviewofthecurrent state of digitisation of historical documents in Switzerland …