A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)
Abstract
In this brief tutorial, we provide an overview of investigating text-based user-generated content for information that is relevant in the corporate context. We structure the overall process along three stages: collection, analysis, and visualization. Corresponding to the stages we outline challenges and basic techniques to extract information of different levels of granularity.
- Citation
- BibTeX
Egger, M. & Lang, A.,
(2013).
A Brief Tutorial on How to Extract Information from User-Generated Content (UGC).
KI - Künstliche Intelligenz: Vol. 27, No. 1.
Springer.
(S. 53-60).
@article{mci/Egger2013,
author = {Egger, Marc AND Lang, André},
title = {A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)},
journal = {KI - Künstliche Intelligenz},
volume = {27},
number = {1},
year = {2013},
,
pages = { 53-60 }
}
author = {Egger, Marc AND Lang, André},
title = {A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)},
journal = {KI - Künstliche Intelligenz},
volume = {27},
number = {1},
year = {2013},
,
pages = { 53-60 }
}
Sollte hier kein Volltext (PDF) verlinkt sein, dann kann es sein, dass dieser aus verschiedenen Gruenden (z.B. Lizenzen oder Copyright) nur in einer anderen Digital Library verfuegbar ist. Versuchen Sie in diesem Fall einen Zugriff ueber die verlinkte DOI: 10.1007/s13218-012-0224-1
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback
More Info
ISSN: 1610-1987
xmlui.MetaDataDisplay.field.date: 2013
Content Type: Text/Journal Article