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A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)

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Text/Journal Article

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Datum

2013

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Quelle

KI - Künstliche Intelligenz: Vol. 27, No. 1

Verlag

Springer

Zusammenfassung

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.

Beschreibung

Egger, Marc; Lang, André (2013): A Brief Tutorial on How to Extract Information from User-Generated Content (UGC). KI - Künstliche Intelligenz: Vol. 27, No. 1. Springer. PISSN: 1610-1987. pp. 53-60

Schlagwörter

Information extraction , Natural language processing , Opinion mining , Text mining , Web mining

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Künstliche Intelligenz 27(1) - März 2013