Texte remanié de: Ph. D. Dissertation--Department of history of ideas and theory of science--Göteborg university, 2005. / Bibliogr. p.

Göteborg, University, Diss., 2005.

Proefschrift Uppsala. / Met lit.opg., reg. en samenvatting in het Engels.

Diss. Uppsala : Uppsala universitet, 2006. / S. 238-259: Bibliografi.

Dissertation--Uppsala universitet, 2009. / Bibliogr. p. 427-446.

Detta examensarbete har skett i samarbete med Stadsmuseet i Skövde inför en utställning under sommaren och hösten 2013 om staden Skövdes skyddshelgon S:ta Elin. Arbetet innehåller en undersökning om hur en 3D-animerad karaktärs icke-verbala uppförande tillsammans med dess ikonografiska attribut kan fungera engagerande för publiken på ett sätt som stödjer syfte och mål med utställningen. För utställningen var målet att göra besökarna intresserade av vad som ligger bakom legenden. För utvärderingen skapades en prototyp i form av animerad 3D-karaktär som ingick i en kortfilm till utställningen om Elinlegenden. Karaktären Elin var i filmen "stum", i betydelsen att hon inte talade själv, därför var det viktigt att hennes karaktär ändå klarade att uttrycka personlighetsdrag. För examensarbetet valdes tre utvärderingsmetoder för att samla in data. Det användes en fokusgrupp för att utvärdera gestaltningen av S:ta Elin och två enkäter (en vid utställningen och en online).

Doct. diss.--Gothenburg, 1990. / Bibliogr. p.250-259. Résumé en anglais.

Den heliga kungen och den saliga änkan is a comparative study of the saint legend of Erik and the saint legend of Elin as they are represented each saint’s officium. The base for these comparisons is the question of what general similarities, and differences, there are as well as an immerse investigation of how these legends portray halidom and finally how the issue of femininity and manliness are portrayed through these two legends. During the thesis apparent similarities appear in how the legends are structured; a template seems to have existed in which the content of what a legend should include is stated. Erik, as well as Elin, are of noble birth and are portrayed as godly people who live bountiful and ascetic lives. They also share other common features; both Erik and Elin proceed on a mission before they encounter the enemy which ultimately leads to their martyr deaths. After their deaths various miracles takes place. Several references to the bible occur within both legends with the intention to authorize and emphasize moral virtues. One of the variations between the legends is in the way the saints die. Whereas Erik dies during battle, sword in hand, which is not a completely characteristic way to die the martyr death, Elin instead confronts her destiny with complete stoic composure. In terms on halidom, both saints are defined within the frame of a rex justus, a rightful king, as well as a vidua sancta, a holy widow who prays for her enemies before death. In the comparison between femininity and manliness typical patterns appear in which Erik is described as an energetic man, yet humble before God, whereas Elin is portrayed as fair and vestal, abstemious and virtuous, wise and unpresuming.

<p>The first part of this paper presents briefly the ELIN[1] system, an electronic newspaper project. ELIN is a framework that stores news and displays them to the end-user. Such news are formatted using the xml[2] format. The project partner Corren[3] provided ELIN with xml articles, however the format used was not the same. My first task has been to develop a software that converts the news from one xml format (Corren) to another (ELIN).</p><p>The second and main part addresses the problem of automatic document classification and tries to find a solution for a specific issue. The goal is to automatically classify news articles from a Swedish newspaper company (Corren) into the IPTC[4] news categories.</p><p>This work has been carried out by implementing several classification algorithms, testing them and comparing their accuracy with existing software. The training and test documents were 3 weeks of the Corren newspaper that had to be classified into 2 categories.</p><p>The last tests were run with only one algorithm (Naïve Bayes) over a larger amount of data (7, then 10 weeks) and categories (12) to simulate a more real environment.</p><p>The results show that the Naïve Bayes algorithm, although the oldest, was the most accurate in this particular case. An issue raised by the results is that feature selection improves speed but can seldom reduce accuracy by removing too many features.</p>

The first part of this paper presents briefly the ELIN[1] system, an electronic newspaper project. ELIN is a framework that stores news and displays them to the end-user. Such news are formatted using the xml[2] format. The project partner Corren[3] provided ELIN with xml articles, however the format used was not the same. My first task has been to develop a software that converts the news from one xml format (Corren) to another (ELIN). The second and main part addresses the problem of automatic document classification and tries to find a solution for a specific issue. The goal is to automatically classify news articles from a Swedish newspaper company (Corren) into the IPTC[4] news categories. This work has been carried out by implementing several classification algorithms, testing them and comparing their accuracy with existing software. The training and test documents were 3 weeks of the Corren newspaper that had to be classified into 2 categories. The last tests were run with only one algorithm (Naïve Bayes) over a larger amount of data (7, then 10 weeks) and categories (12) to simulate a more real environment. The results show that the Naïve Bayes algorithm, although the oldest, was the most accurate in this particular case. An issue raised by the results is that feature selection improves speed but can seldom reduce accuracy by removing too many features.