Words That Describe A Hero

Loading you some adjectives... Won't be much longer! :)

Words to Describe Another Discussion

Below is a list of describing words for another discussion . You can sort the descriptive words by uniqueness or commonness using the push button higher up. Sorry if there'southward a few unusual suggestions! The algorithm isn't perfect, only it does a pretty good job for well-nigh mutual nouns. Here's the listing of words that can be used to describe some other discussion :

Words to Describe ~term~

As y'all've probably noticed, adjectives for "term" are listed higher up. Hopefully the above generated list of words to describe term suits your needs.

If you're getting strange results, it may be that your query isn't quite in the right format. The search box should exist a simple word or phrase, like "tiger" or "bluish eyes". A search for words to describe "people who have blue eyes" will probable return nothing results. So if yous're not getting platonic results, check that your search term, "term" isn't disruptive the engine in this manner.

Note also that if there aren't many term adjectives, or if at that place are none at all, information technology could be that your search term has an abiguous part-of-speech. For example, the discussion "bluish" can be an noun and an describing word. This confuses the engine and so you might not get many adjectives describing it. I may wait into fixing this in the future. You lot might besides be wondering: What type of discussion is ~term~?

Describing Words

The idea for the Describing Words engine came when I was building the engine for Related Words (it'southward similar a thesaurus, just gives you a much broader gear up of related words, rather than merely synonyms). While playing around with word vectors and the "HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which ordinarily describe a word. Eventually I realised that in that location'due south a much meliorate way of doing this: parse books!

Project Gutenberg was the initial corpus, simply the parser got greedier and greedier and I concluded up feeding it somewhere effectually 100 gigabytes of text files - generally fiction, including many gimmicky works. The parser simply looks through each book and pulls out the various descriptions of nouns.

Hopefully it'southward more than than but a novelty and some people will actually observe information technology useful for their writing and brainstorming, only one neat lilliputian matter to try is to compare two nouns which are similar, merely different in some pregnant way - for example, gender is interesting: "woman" versus "man" and "boy" versus "girl". On an inital quick assay information technology seems that authors of fiction are at least 4x more likely to depict women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). In fact, "cute" is perhaps the almost widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. If anyone wants to practice further inquiry into this, let me know and I can give yous a lot more information (for case, there are about 25000 different entries for "woman" - too many to show here).

The blueness of the results represents their relative frequency. You tin can hover over an particular for a second and the frequency score should popular up. The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it'south actually pretty simple). Equally you lot'd look, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that substantive.

Special thanks to the contributors of the open-source mongodb which was used in this project.

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