Dirk Reinel

Dirk Reinel
Hof University of Applied Sciences · Institute of Information Systems (iisys)

Dr. rer. nat.

About

14
Publications
1,211
Reads
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229
Citations

Publications

Publications (14)
Conference Paper
In this paper, we describe a new algorithm designed to generate lexical resources in the field of sentiment analysis. For this approach, based on corpora of customer reviews, we determine words and phrases as candidates for our sentiment lexicon solely by calculating a word co-occurrence measure and by considering word frequencies. The sentiment va...
Thesis
Die ständig zunehmende Anzahl nutzergenerierter textueller Daten im World Wide Web, wie beispielsweise Kundenrezensionen, und die Begehrlichkeiten diese Daten hinsichtlich der darin ausgedrückten Meinungen zu Unternehmen, Produkten, Dienstleistungen etc. maschinell auszuwerten, erfordern gut funktionierende, angepasste Methoden des Opinion Mining....
Chapter
Mit der zunehmenden Menge textueller Daten im Web 2.0 wächst auch die Notwendigkeit der maschinellen Auswertung dieser Daten, beispielsweise um in Texten geäußerte Meinungen aufzuspüren (Opinion Mining). Im vorliegenden Beitrag wird das Aspect-based Opinion Mining – ein Verfahren mit sehr hohem Detaillierungsgrad – für deutschsprachige Texte anhand...
Article
In this work, we present a system called PoliTwi, which was designed to detect emerging political topics (Top Topics) in Twitter sooner than other standard information channels. The recognized Top Topics are shared via different channels with the wider public. For the analysis, we have collected about 4,000,000 tweets before and during the parliame...
Conference Paper
In this paper, we present a study of aspect-based opinion mining using a lexicon-based approach. We use a phrase-based opinion lexicon for the German language to investigate, how good strong positive and strong negative expressions of opinions, concerning products and services in the insurance domain, can be detected. We perform experiments on hand...
Article
Many factors trigger migraine attacks. Weather is often reported to be one of the most common migraine triggers. However, there is little scientific evidence about the underlying mechanisms and causes. In our pilot study, we used smartphone apps and a web form to collect around 4,700 migraine messages in Germany between June 2011 and February 2012....
Conference Paper
In this paper we present an approach to generate lists of opinion bearing phrases with their opinion values in a continuous range between -- 1 and 1. Opinion phrases that are considered include single adjectives as well as adjective-based phrases with an arbitrary number of words. The opinion values are derived from user review titles and star rati...

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Projects

Projects (2)
Project
Our legal research group supports the COVID-19 research data base by modeling data governance. Research for the effectiveness of COVID-19 vaccination is carried out by all Bavarian University hospitals and lead by Prof. Dr. Klaus Überla, University of Erlangen. Our contribution to the project is developing a legal framework including data protection, patients rights and ethics. Data security and system architecture is done by iisys colleague Prof. Dr. Jörg Scheidt and University spin-off smartlytic GmbH.
Project
Aim of the project is to design and implement a national register containing headache and migraine patients data to support the treatment of such patients. The Law Research Group contributes to the project by designing the data protection process and the data protection impact assessment.