TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Beißwenger, Michael
A1  - Lüngen, Harald
A1  - Margaretha, Eliza
A1  - Pölitz, Christian
ED  - Faaß, Gertrud
ED  - Ruppenhofer, Josef
T1  - Mining corpora of computer-mediated communication: analysis of linguistic features in Wikipedia talk pages using machine learning methods
T2  - Proceedings of the 12th edition of the KONVENS conference Vol. 1
N2  - 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.
KW  - Korpus <Linguistik>
KW  - Textkorpus
KW  - Computerlinguistik
KW  - Data Mining
KW  - internetbasierte Kommunikation
KW  - Korpuslinguistik
KW  - KorAP (Korpusanalyseplattform der nächsten Generation)
Y1  - 2014
U6  - https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2893
UN  - https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2893
SP  - 42
EP  - 47
PB  - Universität Hildesheim
CY  - Hildesheim
ER  -