most citedEfficient Sparse Spherical k-Means for Document Clustering

9 citations · 10 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2021

Real-Time Visual Analysis of High-Volume Social Media Posts

Johannes Knittel, Steffen Koch, Tan Tang +4

Breaking news and first-hand reports often trend on social media platforms before traditional news outlets cover them. The real-time analysis of posts on such platforms can reveal…

cs.LG20219 cited

Efficient Sparse Spherical k-Means for Document Clustering

Johannes Knittel, Steffen Koch, Thomas Ertl

Spherical k-Means is frequently used to cluster document collections because it performs reasonably well in many settings and is computationally efficient. However, the time comple…

cs.IR2021

ELSKE: Efficient Large-Scale Keyphrase Extraction

Johannes Knittel, Steffen Koch, Thomas Ertl

Keyphrase extraction methods can provide insights into large collections of documents such as social media posts. Existing methods, however, are less suited for the real-time analy…

cs.LG2020

Visual Neural Decomposition to Explain Multivariate Data Sets

Johannes Knittel, Andres Lalama, Steffen Koch +1

Investigating relationships between variables in multi-dimensional data sets is a common task for data analysts and engineers. More specifically, it is often valuable to understand…

cs.HC20201 cited

PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning

Tan Tang, Renzhong Li, Xinke Wu +7

Storyline visualizations are an effective means to present the evolution of plots and reveal the scenic interactions among characters. However, the design of storyline visualizatio…