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I am looking for a method to categorize a given word into semantically into classes. A simple example would be:

chair -> furniture

The most reasonable way to do so that comes to my mind, would be to create a tree containing words, where chair is a predecessor of furniture. Then one could define a threshold that describes the level of the tree predecessor that should be taken as the result.

Is there some existing research/tools or even trees that fulfill the described task? I cannot find anything in google because I do not know the specific term for my problem. Keyword Clustering as a technique seems a little different, because is works on existing data and return multiple matches.

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You're looking for Wordnet https://en.wikipedia.org/wiki/WordNet ...

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    $\begingroup$ Some explanation would be nice. $\endgroup$ – vonbrand Oct 25 '15 at 2:09

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