Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies
ACM Transactions on Graphics (TOG)
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Towards Automated Reputation and Brand Monitoring on the Web
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Language model mixtures for contextual ad placement in personal blogs
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Pulse: mining customer opinions from free text
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Semantic mining on customer survey
Proceedings of the 8th International Conference on Semantic Systems
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We propose an approach for exploring large corpora of textual customer feedback in a guided fashion, bringing order to massive amounts of unstructured information. The prototypical system we implemented allows an analyst to assess labelled clusters in a graphical fashion, based on treemaps, and perform drill-down operations to investigate the topic of interest in a more fine-grained manner. Labels are chosen by simple but effective term weighting schemes and lay the foundations for assigning feedback postings to clusters. In order to allow for drill-down operations leading to new clusters of refined information, we present an approach that contrasts foreground and background models of feedback texts when stepping into the currently selected set of feedback messages. The prototype we present is already in use at various Siemens units and has been embraced by marketing analysts.