
Jonas Sebastian KraussUniversity of Cologne | UOC · Department of Business Information Sciences
Jonas Sebastian Krauss
Dipl.-Wirt.-Inf.
About
16
Publications
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431
Citations
Additional affiliations
August 2008 - September 2010
Education
February 2009
August 2005 - December 2005
October 2002 - October 2007
Publications
Publications (16)
User-Generated Content (UGC) (Vickery und Wunsch-Vincent 2007) macht einen wesentlichen Teil der Kommunikation über soziale Medien aus. UGC, das den Austausch von Emotionen unterstützt, bezeichnen wir in diesem Zusammenhang als „emotionale Daten“. Wir alle „produzieren“ emotionale Daten, indem wir unsere Emotionen in Tweets, Forenbeiträgen, Blogs u...
Predictive indicators for financial markets based on online buzz has been a frequent topic during the last years. Recent studies use a range of alternative sources for building these sentiment indices, with each purporting to have predictive value. Therefore a question mark remains regarding the comparability of findings across different types of s...
This work examines the predictive power of public data by aggregating information from multiple online sources. Our sources include microblogging sites like Twitter, online message boards like Yahoo! Finance, and traditional news articles. The subject of prediction are daily stock price movements from Standard & Poor's 500 index (S&P 500) during a...
This paper suggests a universal method for creating keyword lists (bag-of-words) for classifying texts concerned with a certain context (e.g. movies, technical products, stocks) as positive or negative (sentiment analysis). The method consists of two steps. The first step is identifying the context with the help of a taxonomy, the second step const...
This paper introduces a novel method to analyze the content of communication in social networks. Content clustering methods
are used to extract a taxonomy of concepts from each analyzed communication archive. Those taxonomies are hierarchical categorizations
of the concepts discussed in the analyzed communication archives. Concepts are based on ter...
Classic sentiment retrieval focuses on a particular domain like product or movie reviews and applies dictionary/bag-of-word methods. These approaches are static in regard to the structure of their bag-of-word and the domain being analyzed. This project’s goal is to construct a dynamic bag-of-word (DBoW) for any given context through utilizing Amazo...
In this paper we analyze the success of startups in Germany by looking at the social network structure of their founders on the German-language business-networking site XING. We address two related research questions. First we examine university-wide networks, constructing alumni networks of 12 German universities, with the goal of identifying the...
This paper explores the effectiveness of social network analysis and sentiment analysis in predicting trends. Our research focuses on predicting the success of new movies over their first four weeks in the box office after opening. Specifically, we try to predict prices on the Hollywood Stock Exchange (HSX), a prediction market on movie gross incom...
We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. These algorithms have been implemented in Condor, a software system for predictive search and analysis of the Web and especially social networks. Algorithms include the...
We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. These algorithms have been implemented in Condor, a software system for predictive search and analysis of the Web and especially social networks. Algorithms include the...
This article proposes a new way to innovate and develop new products, which we call "coolfarming". Contrarily to new product design by conventional project management it is based on self-organization, self-responsibility, transparency and intrinsic motivation. It suggests growing "coolness" of new trends within the emergent swarms forming around th...
In this paper we look at the effectiveness of business networks created by alumni of different universities. In particular, we analyze the networking behavior of entrepreneurs in Germany through the emergent structures of their virtual social networks. We automatically collected the publicly accessible portion of the German business networking site...
This paper introduces a new Web mining approach that combines social network analysis and automatic sentiment analysis. We show how weighting the forum posts of the contributors according to their network position allow us to predict trends and real world events in the movie business. To test our approach we conducted two experiments analyzing onli...