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Dec

25

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:

graph-fiat.gif

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


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