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57 Research products, page 1 of 6

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  • Digital Humanities and Cultural Heritage

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  • Open Access English
    Authors: 
    Jørgensen, Oliver Lunding; Tækker, Tobias Lund; Paget, Marc David; Utzon, Bjørn Anton;
    Publisher: Roskilde University
    Country: Denmark

    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%.

  • Open Access English
    Authors: 
    Russo, Mirko; Viñas Malo, Daniel; Kastner, Melanie;
    Publisher: RUC
    Country: Denmark

    This project will deep into the motives and reasons behind cultural destruction. It will underline the will to entirely wipe off a distinctive group of population and its culture. Taking Syria as our main case given the events of the last decade; centring in the civil war where lives and art have been lost forever, together with the morale of its population, which fled to other countries in big numbers throughout the war. As for the perpetrators, ISIS will be the focus of our project, guilty of intentionally destroying many monuments, especially in Syria. Before explaining and answering to the questions of the project regarding culture, it is more than mandatory to analyse Syria’s history, tribes and regions. After reaching the core of our project and describing the possible reasons behind these actions, the third part of our project, which focuses on the emotional sphere of the victims. War brings with itself grief, loss, damage and destruction to a country and its material environment. To focus on the emotional attachment and emotional damage during this war shall be a matter of discussion nevertheless. We will not only analyse and discuss cultural destruction and the loss for humanity whenever perpetrators decide to damage forever something so important as our, as humans, common and singular past.

  • Open Access Danish
    Authors: 
    Stechmann, Aksel; Stie-Svendsen, Jeppe;
    Country: Denmark

    This paper examines how Russian President Vladimir Putin incorporates the use of history in his speeches and articles with regards to how he positions Russia in its relation to Ukraine. The analysis is structured around three central places of remembrance (danish: erindringssteder): The Kyivan Rus which focuses on the close historical relation between Ukraine and Russia; the heritage of the Sovietunion in relation to how the union defined the borders of Soviet-Ukraine; World War II, ukrainian nationalism and its relation to nazism which centers around how Putin relates nazism to the current ukrainian political elite. The analysis concludes that Putin primarily utilizes the three places of remembrance to legitimize Russia's current invasion of Ukraine. Putin finds the distribution of territories during the soviet era to have been theft, and a complete violation of Russia's integrity. Furthermore, he seeks to protect ethnic russians within the borders of Ukraine from a genocide, instigated by ukrainian nationalists and neo-nazis, who continue the tradition of atrocities commited during World War II. Finally, Putin perceives Ukrainians and Russians as a single people, basing his claim on common history, language, and culture. Thus he implies that ukrainians should unite under Russia, as Russia is the more legitimate state.

  • Other research product . Other ORP type . 2020
    Closed Access English
    Authors: 
    Rogers, James;
    Publisher: History Hit TV
    Country: Denmark

    In the past few months more than a billion people have faced restrictions unlike any seen before. Shops are closed; the death toll is rising; people across the globe have been forced to rise to an extraordinary challenge. But it is important to remember that humans have experienced pandemics before. In this documentary Dan Snow explores some of these previous pandemics and what they can teach us about Covid-19. He talks to Dr James Rogers about what lessons we can learn from WW2.

  • Other research product . Other ORP type . 2020
    Closed Access English
    Authors: 
    Rogers, James;
    Publisher: History Hit TV
    Country: Denmark

    Dr James Rogers explains how we can draw parallels between the current COVID-19 pandemic and the Second World War, particularly in how humans have responded to an extraordinary challenge.

  • Other research product . Other ORP type . 2020
    Restricted English
    Authors: 
    Rogers, James;
    Publisher: History Hack Pod
    Country: Denmark

    Historian and broadcaster James Rogers joins us to give a breakdown of the weapons that he believes are the most significant in the history of civilisation, spanning from ancient times to the modern day.

  • Open Access Danish
    Authors: 
    Rasmussen, Emma; Hinnerskov, Joakim Hey; Sejsbo, Ask Harup; Kinch, Gustav Weber;
    Country: Denmark

    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.

  • Other research product . Other ORP type . 2020
    Restricted English
    Authors: 
    Rogers, James;
    Country: Denmark

    Over the covid-19 lockdown period, Dr James Rogers worked with history teachers and academics to keep the learning going in lockdown. He now has a fantastic range of videos and podcasts available. All content is free to access and is explicitly designed to help teachers and students undertake A-Level and GCSE history revision.Podcast - Slavery and Emancipation in the United States, with Dr Cathrine Armstrong.Podcast - The History of Terrorism - The IRA, with Professor Caroline Kennedy-Pipe.Video - The Rise of Hitler - Hitler, Power, and War, with Ms Laurie Matthews.Video - The Home Front in WW2 - The Butterfly Bombing of Grimsby, with Dr James Rogers.

  • Other research product . Other ORP type . 2019
    Open Access English
    Authors: 
    Yolles, Julian;
    Publisher: Society for Classical Studies
    Country: Denmark

    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.

  • Other research product . 2019
    Open Access English
    Authors: 
    Bin Abdul Rahman, Abdul Halim; Sørensen Alves Monteiro, Miguel;
    Publisher: Roskilde University
    Country: Denmark

    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.

Advanced search in
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
57 Research products, page 1 of 6
  • Open Access English
    Authors: 
    Jørgensen, Oliver Lunding; Tækker, Tobias Lund; Paget, Marc David; Utzon, Bjørn Anton;
    Publisher: Roskilde University
    Country: Denmark

    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%.

  • Open Access English
    Authors: 
    Russo, Mirko; Viñas Malo, Daniel; Kastner, Melanie;
    Publisher: RUC
    Country: Denmark

    This project will deep into the motives and reasons behind cultural destruction. It will underline the will to entirely wipe off a distinctive group of population and its culture. Taking Syria as our main case given the events of the last decade; centring in the civil war where lives and art have been lost forever, together with the morale of its population, which fled to other countries in big numbers throughout the war. As for the perpetrators, ISIS will be the focus of our project, guilty of intentionally destroying many monuments, especially in Syria. Before explaining and answering to the questions of the project regarding culture, it is more than mandatory to analyse Syria’s history, tribes and regions. After reaching the core of our project and describing the possible reasons behind these actions, the third part of our project, which focuses on the emotional sphere of the victims. War brings with itself grief, loss, damage and destruction to a country and its material environment. To focus on the emotional attachment and emotional damage during this war shall be a matter of discussion nevertheless. We will not only analyse and discuss cultural destruction and the loss for humanity whenever perpetrators decide to damage forever something so important as our, as humans, common and singular past.

  • Open Access Danish
    Authors: 
    Stechmann, Aksel; Stie-Svendsen, Jeppe;
    Country: Denmark

    This paper examines how Russian President Vladimir Putin incorporates the use of history in his speeches and articles with regards to how he positions Russia in its relation to Ukraine. The analysis is structured around three central places of remembrance (danish: erindringssteder): The Kyivan Rus which focuses on the close historical relation between Ukraine and Russia; the heritage of the Sovietunion in relation to how the union defined the borders of Soviet-Ukraine; World War II, ukrainian nationalism and its relation to nazism which centers around how Putin relates nazism to the current ukrainian political elite. The analysis concludes that Putin primarily utilizes the three places of remembrance to legitimize Russia's current invasion of Ukraine. Putin finds the distribution of territories during the soviet era to have been theft, and a complete violation of Russia's integrity. Furthermore, he seeks to protect ethnic russians within the borders of Ukraine from a genocide, instigated by ukrainian nationalists and neo-nazis, who continue the tradition of atrocities commited during World War II. Finally, Putin perceives Ukrainians and Russians as a single people, basing his claim on common history, language, and culture. Thus he implies that ukrainians should unite under Russia, as Russia is the more legitimate state.

  • Other research product . Other ORP type . 2020
    Closed Access English
    Authors: 
    Rogers, James;
    Publisher: History Hit TV
    Country: Denmark

    In the past few months more than a billion people have faced restrictions unlike any seen before. Shops are closed; the death toll is rising; people across the globe have been forced to rise to an extraordinary challenge. But it is important to remember that humans have experienced pandemics before. In this documentary Dan Snow explores some of these previous pandemics and what they can teach us about Covid-19. He talks to Dr James Rogers about what lessons we can learn from WW2.

  • Other research product . Other ORP type . 2020
    Closed Access English
    Authors: 
    Rogers, James;
    Publisher: History Hit TV
    Country: Denmark

    Dr James Rogers explains how we can draw parallels between the current COVID-19 pandemic and the Second World War, particularly in how humans have responded to an extraordinary challenge.

  • Other research product . Other ORP type . 2020
    Restricted English
    Authors: 
    Rogers, James;
    Publisher: History Hack Pod
    Country: Denmark

    Historian and broadcaster James Rogers joins us to give a breakdown of the weapons that he believes are the most significant in the history of civilisation, spanning from ancient times to the modern day.

  • Open Access Danish
    Authors: 
    Rasmussen, Emma; Hinnerskov, Joakim Hey; Sejsbo, Ask Harup; Kinch, Gustav Weber;
    Country: Denmark

    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.

  • Other research product . Other ORP type . 2020
    Restricted English
    Authors: 
    Rogers, James;
    Country: Denmark

    Over the covid-19 lockdown period, Dr James Rogers worked with history teachers and academics to keep the learning going in lockdown. He now has a fantastic range of videos and podcasts available. All content is free to access and is explicitly designed to help teachers and students undertake A-Level and GCSE history revision.Podcast - Slavery and Emancipation in the United States, with Dr Cathrine Armstrong.Podcast - The History of Terrorism - The IRA, with Professor Caroline Kennedy-Pipe.Video - The Rise of Hitler - Hitler, Power, and War, with Ms Laurie Matthews.Video - The Home Front in WW2 - The Butterfly Bombing of Grimsby, with Dr James Rogers.

  • Other research product . Other ORP type . 2019
    Open Access English
    Authors: 
    Yolles, Julian;
    Publisher: Society for Classical Studies
    Country: Denmark

    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.

  • Other research product . 2019
    Open Access English
    Authors: 
    Bin Abdul Rahman, Abdul Halim; Sørensen Alves Monteiro, Miguel;
    Publisher: Roskilde University
    Country: Denmark

    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.

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