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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 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%.

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.

This project aims to examine the historical source that mappa mundi is. The project is based on a literature study of primarily four carefully chosen writers. The writers are respectively historian of cartography David Woodward, Professor of Renaissance Jerry Brotton, Professor of History Evelyn Edson and Art Historian Naomi Reed Kline. The project is based on a variety of topics through which the use of the Hereford map as a historian source is highlighted and discussed. The premise of the study is a critical position in relation to the conclusions drawn by the chosen authors. The intention is to challenge the inferences made to reality. The conclusion of this report is that interpretations are based on the respective methods and their various viewpoints.

The subject of this research project is to perform a comparative analysis of a section of the Danish media coverage in three different newspapers of the Israel/Palestine conflict, aiming to highlight an evolution or change, in the discourses used in these papers. The comparative analysis is based upon empirical material of eighteen newspaper editorials, discussing three chosen historical events, during the Israel/Palestine conflict. The historical events which the articles will represent, are the six-day war, the first intifada, and the second intifada. The reasoning behind the selection of these historical events is a necessity, for a broad perspective of the conflict, to make discursive changes more apparent. Additionally the chosen events are all substantial and well documented, and it is through these events that the change of discourse will be presented. To answer the research question thoroughly, a combination of the two distinctive theories relating the study of discourse will be used. The theories are Norman Fairclough’s ‘Critical discourse analysis’ and the ‘Discourse theory’ of Ernesto Laclau and Chantal Mouffe. Both offer an extensive look into the dynamic and complex structures of discourses, and will together provide a set of nuanced methods to complete the analysis. The overall scientific field in which these theories exist, is within the area of social constructivism which also relates to the theory of power by Michael Foucault. The analysis of the various discursive structures of the historical period in question, will focus on describing the more specific types of discourse of the different media outlets, separately and in unison, by shifting incorporations of the theories that have been presented. The precise method for this analytical procedure will be to locate and underline how certain phrases and specific usages of language are in a dynamic relationship with what they aim to represent, and how discourses in general seem to undergo striking, even insidious transformations through their use. Finally, the analysis of this paper attempts to answer the more difficult question, relating the causes behind these discursive transformations, and attributes them to the acknowledgement of discourses in general, as fundamentally transformative properties, where the use of language by its conception, is inevitably changing and dynamic in nature.

This paper investigates the study of Neuromarketing, it includes how methods within this study are developed and used, and if these can be used in an unethical way. To illustrate how neuromarketing got approved as a study, the history of neuroscience through a psychological perspective and the history of marketing will be presented. Furthermore the philosopher Immanuel Kants’ (1724-1804) thoughts of moral will be hold up against the methods of Neuromarketing. In continuation of this, the paper will include an experiment where subjects are presented for a Coca-Cola Christmas commercial. While they watch the commercial they are wearing a Neurosky Mindwave EEG-scanner. This is done to measure how much, and where they pay attention through the commercial, to determine that the effects of Neuromarketing works. The experiment is build around the hypothetico-deductive method. Lawsons design method from the book How designers think, are used during the design process. In this method; analysis, synthesis and evaluation are steps to reach the final design product, which in this case is a short movie to inform of the marketing strategy, Neuromarketing. Through the empirical data and the theories it is concluded that, it is possible to measure attention on the subjects during a commercial. Also the knowledge used in Neuromarketing possibly would not be ethical correct according to Immanuel Kants thoughts of moral.

This paper revolves around the development of an LSTM multiclass classifier, constructed using Keras as framework and CRISP-DM as project process, with the purpose of classifying natural language into varying degrees of toxicity. The model takes a starting point in an existing toxic comment classification challenge from Kaggle.com, and makes a first iteration, engineered towards the requirements in the challenge. In this first iteration, several measures are taken to avoid common pitfalls of neural networks. The model is then held up against principles of freedom of speech including The Harm Principle and The Offence Principle by John Stuart Mill and Joel Feinberg respectively. After evaluating upon the models performance in the light of these principles, a second iteration is constructed with some design changes. For reasons i.a. related to the dataset, this operation is less successful. The paper concludes that it is possible to make a good multiclassification tool for shallow NLP problem, but gets less efficient in later iterations as we try to apply it to more concrete purposes.

The motivation for this project was based on the newly founded movement DiEM25 (Democracy in Europe Movement 2025) and their manifesto. The movement’s ideas and visions are based on the critique of the European Union’s handling of the economic, refugee and migration crisis’, that has been debated throughout Europe in recent years. With their manifesto, DiEM25 has formulated an idealistic alternative vision for the future Europe. This assignment seeks to find answers to what kind of alternative this is. More specifically; which kind of cosmopolitanism is expressed in the manifesto, and which European concept historical traditions this cosmopolitanism builds upon. The analysis conducted in this project will be a comparative concept historian analysis of the cosmopolitan vision formulated in the DiEM25 Manifesto. The assignment concludes that the manifesto entails a potential utopian cosmopolitan vision of re-democratising Europe, and more specifically the EU in our present modern and globalised world. Furthermore, it concludes that the the cosmopolitanism in the DiEM25 Manifesto builds on a long tradition of cosmopolitan ideas, leading back to Immanuel Kant initial ideas of cosmopolitanism, through post world war and the thoughts of Ulrich Beck up until the 21st century and the notion of New Cosmopolitanism.

The project focuses on how the hungarian culture has been preserved throughout the years in the southeast region of Slovakia (Rye Island).

This project was set out to explore the role of the Turing Test in the development of Artificial Intelligence (AI), with emphasis on the historical perspective. This report contains an introductory presentation of the Turing Test and Artificial Intelligence. Furthermore, it presents two methods for analysis. The first method is a quantitative search in extracting the number of results from Google Scholars for search range between 1950 and 2019. The searched terms are ‘Turing Test’ and ‘Artificial Intelligence’. The second method is the one used for the analysis of two case studies, ELIZA and Google Duplex. In exploring the historical development, ELIZA is an early research topic from 1966 and Google Duplex is a contemporary project from 2018. This report concludes that the Turing Test appears to have played a role in the historical development of AI. Results from the quantitative search show that there is an exponential growth, followed by a short stabilisation, before it begins to decay towards the last decade. Both case studies failed when subjected to a strict Turing Test. Though when subjected to the Total Turing Test, Google Duplex seems to surpass it. Finally, this report also concludes that the Turing Test may no longer be relevant, as mediums for AI have evolved beyond text-based and most developments are no longer concerned with tricking humans.