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.