Steffen Kemmerer

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The automatic analysis of texts containing opinions of users about, e.g., products or political views has gained attention within the last decades. However, previous work on the task of analyzing user reviews about mobile applications in app stores is limited. Publicly available corpora do not exist, such that a comparison of different methods and models is(More)
This paper describes Neofonie NERD, our Named Entity Recognition and Disambiguation system submitted to the ERD Challenge 2014. The system uses a vector space model approach for disambiguation, based on the link structure of Freebase, in combination with precomputed statistical measures from Wikipedia and Freebase. It was originally developed for the German(More)
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