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

URN to cite this document:
urn:nbn:de:bvb:355-epub-357144
Glücker, Hartmut ; Burghardt, Manuel ; Wolff, Christian
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Date of publication of this fulltext: 09 Jun 2017 13:18


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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