Options
Mining corpora of computer-mediated communication: Analysis of linguistic features in Wikipedia talk pages using machine learning methods
Abstract
Machine learning methods offer a great potential to automatically investigate large amounts of data in the humanities. Our contribution to the workshop reports about ongoing work in the BMBF project KobRA (http://www.kobra.tu-dortmund.de) where we apply machine learning methods to the analysis of big corpora in language-focused research of computer-mediated communication (CMC). At the workshop, we will discuss first results from training a Support Vector Machine (SVM) for the classification of selected linguistic features in talk pages of the German Wikipedia corpus in DeReKo provided by the IDS Mannheim. We will investigate different representations of the data to integrate complex syntactic and semantic information for the SVM. The results shall foster both corpus-based research of CMC and the annotation of linguistic features in CMC corpora.
Publikationstyp
ConferencePaper
Autor*in • • •
Beißwenger, Michael
Lüngen, Harald
Margaretha, Eliza
Pölitz, Christian
Erscheinungsdatum
2014
Fachbereich
Institut / Einrichtung
Erschienen in
Workshop proceedings of the 12th edition of the KONVENS conference
Erste Seite
42
Letzte Seite
47
URN
urn:nbn:de:gbv:hil2-opus-2930
HilPub Permalink
Dateien