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 }
}
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