Change search
ReferencesLink to record
Permanent link

Direct link
Classification along genre dimensions: exploring a multidisciplinary problem
University of Borås, Swedish School of Library and Information Science.
2011 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

This thesis treats the sociotechnical notion of genre as a conflation of a communicative situation and a community of practices involved in producing and using documents. It explores the ways in which documents may be mapped to the sociocultural contexts from which they emanate. In other words, it is concerned with the classification of documents along genre dimensions, with the purpose of supporting information seeking. The thesis positions itself within Library and Information Science in two parts. Firstly, a theoretical framework for classification along genre dimensions is developed based on relevant theories and practices from Library and Information Science, as well as from sociologically motivated Linguistics, and neighbouring domains. Secondly, a setup for experiments, including feature derivation and reannotation of existing corpora, is designed in order to explore the relationship between text documents and genres, and the extent to which a mapping of documents to genres can be realized in real world applications. The experimental part of the thesis relies on an existing corpus for genre classification research, used in comparable research, with an addition of a slight extension. In the experiments, combinations of feature sets and target genres are evaluated, using traditional performance estimators for classification performance. The outcome of the first part of the work indicates that the notion of genre with respect to classification is largely undertheorized in Library and Information Science. We need to know more about the nature of different genres, how to robustly identify the documents of a genre, and the impact genres have on information seeking. Interdisciplinary collaborative research would be most beneficial in these efforts. The results of the experiments of the second part are fairly inconclusive for the evaluation of feature sets, but it can be concluded that the optimal combination of feature sets and target genres is a crucial issue for high performance, and worthy of more investigation.

Place, publisher, year, edition, pages
Institutionen Biblioteks- och informationsvetenskap/Bibliotekshögskolan Högskolan i Borås , 2011.
Skrifter från Valfrid, ISSN 1103-6990 ; 46
National Category
Information Studies
Research subject
Library and Information Science
URN: urn:nbn:se:hb:diva-3582Local ID: 2320/7920ISBN: 978-91-85659-72-2OAI: diva2:876972

Academic dissertation for the Degree of Doctor of Philosophy in Library and

Information Science at the University of Borås to be publicly defended on

Friday 29 april 2011 at 13.00 in lecture room M506, the University of Borås,

Allégatan 1, Borås

Available from: 2015-12-04 Created: 2015-12-04 Last updated: 2016-07-13Bibliographically approved

Open Access in DiVA

fulltext(1706 kB)72 downloads
File information
File name FULLTEXT01.pdfFile size 1706 kBChecksum SHA-512
Type fulltextMimetype application/pdf
spikblad(147 kB)4 downloads
File information
File name SPIKBLAD01.pdfFile size 147 kBChecksum SHA-512
Type spikbladMimetype application/pdf
omslag(2178 kB)5 downloads
File information
File name COVER01.pdfFile size 2178 kBChecksum SHA-512
Type coverMimetype application/pdf

Search in DiVA

By author/editor
Gunnarsson, Mikael
By organisation
Swedish School of Library and Information Science
Information Studies

Search outside of DiVA

GoogleGoogle Scholar
Total: 72 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 501 hits
ReferencesLink to record
Permanent link

Direct link