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Dec
25
Visualizing Similarity Sets
December 25, 2006 | 648 Comments
One interesting topic of the natural language processing field is finding word similarity in a document collection. For example, given a set of news documents (more is better), we can see what names which are similar to the word “Fiat” (the name of a famous car). Can you guess, what are the first seven words which are closely related (similar in some ways) to “Fiat”?
If you click this (open new window), you will get a graph as shown by the following figure:

In the news document collection, Fiat has a close similarity with Volkswagen, Toyota, Open, Nissan, Renault, Honda, and Peugeot. Using intuition, we know that they are the names of popular automobile. I will not explain how this set of similarity information can be extracted from a document collection. You can read my colleague’s paper here. Instead, I will show how can we visualize sets of similar words in an interactive way.
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Dec
24
International Events
- ACL 2007 - The Association for Computational Linguistics conference, Prague, June 23rd–30th 2007.
- ESWC 2007 - The 4th European Semantic Web Conference, 3-7th June, Tirol, Austria
- ISWC 2007 - The 6th International Semantic Web Conference, 11-15 November 2007, Busan, Korea
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