Volltext-Downloads (blau) und Frontdoor-Views (grau)

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

  • 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 valence ratings for more than 2,900 German words. The results are visualized in an interactive web interface that shows sentiment analyses for single posts, but also provides a timeline view to display trends in the sentiment ratings.

Download full text files

Export metadata

Additional Services

Share in Twitter    Search Google Scholar    frontdoor_oas
Author:Hartmut Glücker, Manuel Burghardt, Christian Wolff
Parent Title (English):Workshop proceedings of the 12th edition of the KONVENS conference
Document Type:Conference Proceeding
Date of Publication (online):2014/11/25
Release Date:2014/11/25
Tag:cmc; sentiment analysis; social media
GND Keyword:Computerunterstützte Kommunikation; Meinung; Onlinecommunity
First Page:58
Last Page:61
PPN:Link zum Katalog
Institutes:Fachbereich III / Informationswissenschaft und Sprachtechnologie
DDC classes:400 Sprache / 400 Sprache, Linguistik
Collections:KONVENS 2014 / Workshop Proceedings of the 12th KONVENS 2014
Licence (German):License LogoCreative Commons - Namensnennung 3.0