Christian Rohrdantz

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Finding suitable, less space consuming views for a document's main content is crucial to provide convenient access to large document collections on display devices of different size. We present a novel compact visualization which represents the document's key semantic as a mixture of images and important key terms, similar to cards in a top trumps game. The(More)
This paper presents a new approach to detecting and tracking changes in word meaning by visually modeling and representing diachronic development in word contexts. Previous studies have shown that computational models are capable of clustering and disambiguating senses, a more recent trend investigates whether changes in word meaning can be tracked by(More)
Twitter currently receives about 190 million tweets (small textbased Web posts) a day, in which people share their comments regarding a wide range of topics. A large number of tweets include opinions about products and services. However, with Twitter being a relatively new phenomenon, these tweets are underutilized as a source for evaluating customer(More)
Social networking and micro-blogging services such as Twitter have become a valuable source of information on current events. Widespread use of Twitter on mobile devices and personal computers enables users to share short messages on any subject in real-time, thus making it suitable for early detection of unexpected events where fast response is critical.(More)
Real-time visualization of text streams is crucial for different analysis scenarios and can be expected to become one of the important future research topics in the text visualization domain. Especially the complex requirements of real-time text analysis tasks lead to new visualization challenges, which will be structured and described in this paper. First,(More)
This paper offers a new way of representing the results of automatic clustering algorithms by employing a Visual Analytics system which maps members of a cluster and their distance to each other onto a twodimensional space. A case study on Urdu complex predicates shows that the system allows for an appropriate investigation of linguistically motivated data.
We present an innovative visualization technique for the analysis of historical data. We illustrate our method with respect to a diachronic case study involving V1 word order in Icelandic. A number of interacting factors have been proposed by linguists as being determinative of matrix declarative V1. The significance of these factors in contributing to(More)
Today, online stores collect a lot of customer feedback in the form of surveys, reviews, and comments. This feedback is categorized and in some cases responded to, but in general it is underutilized – even though customer satisfaction is essential to the success of their business. In this paper, we introduce several new techniques to interactively analyze(More)
The technology behind RSS feeds offers great possibilities to retrieve more news items than ever. In contrast to these technical developments, human capabilities to read all these news items have not increased likewise. To bridge this gap, this paper presents a visual analytics tool for conducting semi-automatic sentiment analysis of large news feeds. While(More)
This article describes automatic methods and interactive visualizations that are tightly coupled with the goal to enable users to detect interesting portions of text document streams. In this scenario the interestingness is derived from the sentiment, temporal density, and context coherence that comments about features for different targets (e.g., persons,(More)