%0 Journal Article %1 Gretarsson:2012:TVA:2089094.2089099 %A Gretarsson, Brynjar %A O'Donovan, John %A Bostandjiev, Svetlin %A Höllerer, Tobias %A Asuncion, Arthur %A Newman, David %A Smyth, Padhraic %C New York, NY, USA %D 2012 %I ACM %J ACM Trans. Intell. Syst. Technol. %K academic-reference information-visualization topic-modeling %N 2 %P 23:1--23:26 %R 10.1145/2089094.2089099 %T TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling %U http://doi.acm.org/10.1145/2089094.2089099 %V 3 %X We present TopicNets, a Web-based system for visual and interactive analysis of large sets of documents using statistical topic models. A range of visualization types and control mechanisms to support knowledge discovery are presented. These include corpus- and document-specific views, iterative topic modeling, search, and visual filtering. Drill-down functionality is provided to allow analysts to visualize individual document sections and their relations within the global topic space. Analysts can search across a dataset through a set of expansion techniques on selected document and topic nodes. Furthermore, analysts can select relevant subsets of documents and perform real-time topic modeling on these subsets to interactively visualize topics at various levels of granularity, allowing for a better understanding of the documents. A discussion of the design and implementation choices for each visual analysis technique is presented. This is followed by a discussion of three diverse use cases in which TopicNets enables fast discovery of information that is otherwise hard to find. These include a corpus of 50,000 successful NSF grant proposals, 10,000 publications from a large research center, and single documents including a grant proposal and a PhD thesis.

@article{Gretarsson:2012:TVA:2089094.2089099, abstract = {We present TopicNets, a Web-based system for visual and interactive analysis of large sets of documents using statistical topic models. A range of visualization types and control mechanisms to support knowledge discovery are presented. These include corpus- and document-specific views, iterative topic modeling, search, and visual filtering. Drill-down functionality is provided to allow analysts to visualize individual document sections and their relations within the global topic space. Analysts can search across a dataset through a set of expansion techniques on selected document and topic nodes. Furthermore, analysts can select relevant subsets of documents and perform real-time topic modeling on these subsets to interactively visualize topics at various levels of granularity, allowing for a better understanding of the documents. A discussion of the design and implementation choices for each visual analysis technique is presented. This is followed by a discussion of three diverse use cases in which TopicNets enables fast discovery of information that is otherwise hard to find. These include a corpus of 50,000 successful NSF grant proposals, 10,000 publications from a large research center, and single documents including a grant proposal and a PhD thesis.}, acmid = {2089099}, added-at = {2018-06-22T11:04:57.000+0200}, address = {New York, NY, USA}, articleno = {23}, author = {Gretarsson, Brynjar and O'Donovan, John and Bostandjiev, Svetlin and H\"{o}llerer, Tobias and Asuncion, Arthur and Newman, David and Smyth, Padhraic}, biburl = {https://www.bibsonomy.org/bibtex/2642814d44e5ed099eab3f7300a1c3a4c/brusilovsky}, description = {TopicNets}, doi = {10.1145/2089094.2089099}, interhash = {c7416ac0ca7435aac5fbf7c4e252b7d2}, intrahash = {642814d44e5ed099eab3f7300a1c3a4c}, issn = {2157-6904}, issue_date = {February 2012}, journal = {ACM Trans. Intell. Syst. Technol.}, keywords = {academic-reference information-visualization topic-modeling}, month = feb, number = 2, numpages = {26}, pages = {23:1--23:26}, publisher = {ACM}, timestamp = {2018-06-22T11:07:29.000+0200}, title = {TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling}, url = {http://doi.acm.org/10.1145/2089094.2089099}, volume = 3, year = 2012 }