Abstract
We present txt2vz (txt2vz.appspot.com), a new tool for automatically generating a visual summary of unstructured text data found in documents or web sites. The main purpose of the tool is to give the user information about the text so that they can quickly get a good idea about the topics covered. Txt2vz is able to identify important concepts from unstructured text data and to reveal relationships between those concepts. We discuss other approaches to generating diagrams from text and highlight the differences between tag clouds, word clouds, tree clouds and graph clouds. © 2013 Springer-Verlag.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. |
Publisher | Springer Nature |
Pages | 322-331 |
Number of pages | 9 |
Volume | 7735 |
DOIs | |
Publication status | Published - 2013 |
Event | 7th International Symposium on Parameterized and Exact Computation, IPEC 2012 - Ljubljana Duration: 1 Jul 2013 → … http://link.springer.com/chapter/10.1007%2F978-3-642-35786-2_25 |
Other
Other | 7th International Symposium on Parameterized and Exact Computation, IPEC 2012 |
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City | Ljubljana |
Period | 1/07/13 → … |
Internet address |
Keywords
- concept map
- tag cloud
- tree cloud
- visualization