Processing internet-derived text - creating a corpus of usenet messages.

Hoffmann, S. (2007) Processing internet-derived text - creating a corpus of usenet messages. Literary and Linguistic Computing, 22 (2). pp. 35-55. ISSN 1477-4615

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In recent years, linguists have become increasingly interested in the language of the Internet—both as an object of investigation as well as a source of authentic data to complement traditional electronic corpora. However, Internet-derived data is typically very messy data and a conversion process is often required in order to enable researchers to carry out a reliable quantitative investigation of the patterns observed with the help of standard corpus tools. In this article, I discuss the technical and methodological aspects involved in creating a large corpus of asynchronous computer-mediated communication by downloading and post-processing hundreds of thousands messages posted in twelve Usenet newsgroups. After describing how messages can be arranged into hierarchically structured discussion threads, I focus at some length on the strategies that are required to correctly assign authorship to the different textual elements in individual messages. My algorithms have a success rate of well over 90% for most newsgroups and the resulting corpus can thus serve as a suitable basis for an investigation into the interactive strategies employed in this particular type of written communication.

Item Type: Journal Article
Journal or Publication Title: Literary and Linguistic Computing
Additional Information: RAE_import_type : Journal article RAE_uoa_type : Linguistics
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/p1
Departments: Faculty of Arts & Social Sciences > Linguistics & English Language
ID Code: 3942
Deposited By: ep_importer
Deposited On: 05 Mar 2008 13:07
Refereed?: Yes
Published?: Published
Last Modified: 22 Jun 2019 03:15

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