Sentilyzer – A Mashup Application for the Sentiment Analysis of Facebook Pages - University of Regensburg Publication Server

URN to cite this document:: urn:nbn:de:bvb:355-epub-357144
DOI to cite this document:: 10.5283/epub.35714

Glücker, Hartmut ; Burghardt, Manuel

; Wolff, Christian

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Item type:	Book section
Title of Book:	Workshop proceedings of the 12th edition of the KONVENS conference
Publisher:	Universitätsbibliothek Hildesheim
Place of Publication:	Hildesheim
Page Range:	pp. 58-61
Date:	2014
Institutions:	Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	35714

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Abstract

We present Sentilyzer, a web-based tool that can be used to analyze and visualize the sentiment of German user comments on Facebook pages. The tool collects comments via the Facebook API and uses the TreeTagger to perform basic lemmatization. The lemmatized data is then analyzed with regard to sentiment by using the Berlin Affective Word List – Reloaded (BAWL-R), a lexicon that contains emotional ...

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Sentilyzer – A Mashup Application for the Sentiment Analysis of Facebook Pages

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