Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jonas Krauss"'
Novel approaches to robot programming using advanced combinations of Machine Learning and simulation can flexibly adapt to changes and offer promising solutions, even to complex tasks such as assembly. However, feasible training data must model the u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::387ae9ed96e30c01c72685dc781120f7
https://publica.fraunhofer.de/handle/publica/415330
https://publica.fraunhofer.de/handle/publica/415330
Publikováno v:
Social Credit Rating ISBN: 9783658296520
User-Generated Content (UGC) (Vickery und Wunsch-Vincent 2007) macht einen wesentlichen Teil der Kommunikation uber soziale Medien aus. UGC, das den Austausch von Emotionen unterstutzt, bezeichnen wir in diesem Zusammenhang als „emotionale Daten“
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e32a6a1a362970075e7dc1718c433eb4
https://doi.org/10.1007/978-3-658-29653-7_31
https://doi.org/10.1007/978-3-658-29653-7_31
Publikováno v:
SSRN Electronic Journal.
Sentiment indicators are often appealing to investors since financial markets are known to be influenced not only by economic fundamentals but also by emotions (Shiller & Akerlof, 2009). In current studies, however, a range of alternative sentiment i
Publikováno v:
Procedia - Social and Behavioral Sciences. 2:6423-6433
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 t
Publikováno v:
Procedia - Social and Behavioral Sciences. 2(4):6483-6496
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 network
Publikováno v:
SSRN Electronic Journal.
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
Publikováno v:
On Collective Intelligence ISBN: 9783642144806
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 categor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95cdeb56f56660f95c29ec798728118d
https://doi.org/10.1007/978-3-642-14481-3_11
https://doi.org/10.1007/978-3-642-14481-3_11
Publikováno v:
CSE (4)
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 f
Publikováno v:
SSRN Electronic Journal.
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 f