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Online review of The Tesserae Project, a resource that seeks to take advantage of digital corpora to enable the user to find connections between texts. Its web interface allows users to search two texts or corpora from Greek and Latin literature for occurrences of two or more shared words within a line or phrase.

This paper, seeks to examine the correlation between stock price and public sentiment expressed through social media. Through twitter scraping and pre- processing, sentiment can be extracted from text. The paper will be based on a heuristic approach to natural language processing. Furthermore, the paper will rely on the most common forms of sentiment analysis, using a rule-based and a machine-learning approach as a starting point and weigh these up against each other. Finally, we will continue with the best performing method, and weigh this up against real market data in a pursuit to find a correlation, should one exist. The paper found a sentiment-to-market accuracy 75%. And the accuracy score utilizing the rules-based approach of 72,72%.

Through this paper, we examine the redesign process that the building of Nikolaj Church has gone through from the 1960ies, to how it appears today, as Nikolaj Kunsthal. The traces and layers have visible signs of a random design process through time. Nowadays the art centre aims for a coherent atmosphere and sense of place in an upcoming design process. Our analysis of textual data gathered from relevant documents and interviews with key stakeholders, relies on the development of a sociotechnical perspective. This perspective allows us to recognise the various agencies and networks in connection to the design process that emerge from the technical and social aspects, which are analysed. The findings emphasize the building as an actant and a network, that plays a crucial part in the design process.

This project concerns itself with the controversial 12th century saint and abbot, Bernard of Clairvaux, so influential that his contemporaneity has been called ‘The Age of Bernard’. The project bases its method on Gadamer in an attempt to locate the man behind the legend. Working towards this, primary sources have been read, analyzed and contextualized with secondary sources in order to shed light on Bernard as he conducted himself and was seen by his contemporaries. The project concludes that while passing definite judgment on Bernard is impossible due to the limited availability of primary sources, it is possible to produce meaningful theories and interpretations of his letters, miracles and actions as both an abbot and a politician – he truly was a ‘difficult saint’.

This study explores the use of Natural Language Processing as a tool for online reviews. By drawing on theories about machine learning, this article investigates how to develop a Natural Language Processing model in Python. The authors present two machine learning models which were developed through an iterative design process and by implementing various approaches from the TRIN-model. This study concludes that machine learning models like ours might not have a significant impact on the future of reviews, but we are optimistic about the potential of Natural Language Processing as a tool for categorizing specific aspects of a company’s services. This conclusion is based on the analysis and discussion of the results we gathered from our Natural Language Processing models.

Summary The Future About the Past is an examination and discussion of non-traditional ways of engaging with a difficult past. In this case the past in question is South Africa’s and its difficult memories of racism. Specifically it is an analysis of the 2009 science-fiction film District 9, directed by the South African Neill Blomkamp. In the project the idea of depicting history on film is discussed, especially inspired by the thoughts of the historian Robert A. Rosenstone. He argues that film can be depictions of the past – and therefore history in its own right and should not be judged on the same scale as written history. From that starting point, I go on to discuss historiography in a South African context and include thoughts on depictions of South Africa on film and cinematographic examples as such. I attempt to analyse District 9 from a historical point of view, especially focusing on what role the film can play in engaging with a difficult past and what it may say about the white, Afrikaans speaking minority’s view of their past. I conclude that the film has its merits as a way of depicting history, but has an underlying problematic view of history that includes racist stereotypification. The analysis leads to a discussion of the possibility of using film when engaging with a painful past. In this case I use examples from the discussion of depictions of Holocaust and argue that alternative films, for example science fiction, have the possibility of engaging with a difficult past in a better way than mainstream cinema and possibly written history.

In this project, we discuss the phenomenon of UAV warfare. By conducting a discourse analysis of two speeches, one conducted by then counterterrorism advisor John Brennan and one by President Barack Obama, we investigate how UAV use is justified. We briefly discuss the historical background and contemporary public opinion in order to contextualize the discourse presented in the two speeches. The discourse analysis is structured in three analytical categories: how are representations of identity are articulated, how the speakers make claims about the future and finally the specific nature of the justifications of UAV use. Finally, we discuss how our empirical findings relate to the discussion of the changing nature of warfare, as well as we present a brief critique of a position in the current UAV debate. Our main argument in this discussion is that UAVs should be discussed within the social, discursive practice they are used, and not regarded merely as technological objects distinct from the context they exist in.