Describing Wordsfor Eyeballing

examples: nose,  winter,  blue eyes,  woman

Here are some adjectives for eyeballing: single interested, damn ridiculous, immense myopic, jittery red, single, bloody, shockingly inflamed, ole hairy, world-famous hairy, vast oversized, baleful, sunken, alien electronic, other glassy, big, bloody, large electronic, single horrible, great meaty, old hairy, single ominous, real hairy, dark hairy, fluid-filled, own godlike, transparent blue, clear, dark, great crystalline, last quick, thy fiery, hairy, mere dead, lidless. You can get the definitions of these eyeballing adjectives by clicking on them. You might also like some words related to eyeballing (and find more here).

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Click words for definitions.

Words to Describe eyeballing

Below is a list of describing words for eyeballing. You can sort the descriptive words by uniqueness or commonness using the button above. Sorry if there's a few unusual suggestions! The algorithm isn't perfect, but it does a pretty good job for most common nouns. Here's the list of words that can be used to describe eyeballing:

single interested damn ridiculous immense myopic jittery red single, bloody shockingly inflamed ole hairy world-famous hairy vast oversized baleful, sunken alien electronic other glassy big, bloody large electronic single horrible great meaty old hairy single ominous real hairy dark hairy fluid-filled own godlike transparent blue clear, dark great crystalline last quick thy fiery hairy mere dead lidless naked human milky blue blue-sky large and powerful
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good old-fashioned bloodshot fiery red naked white beady myopic disembodied blank white talismanic opalescent braided zany meaty dizzy interested bleached glaring sulfurous infrared bleary incandescent transparent dauntless eight-foot great white spherical miraculous upturned magical electronic pure white bare monstrous sore wary crystalline movable cursory human sizeable demoniac naked misshapen obscene mangled mutinous glassy inflamed ruddy old-fashioned sensitive suspicious oversized bloody fake bloodied inner swollen turquoise astral full-fledged thine godlike white vagrant baleful watery fiery dusty entire multiple grotesque bizarre nimble empty bloated glossy huge actual single red male quick ridiculous sunken symbolic frantic colossal limp wee golden metal casual powerful slippery superficial spare imperfect upper nervous ominous blue mobile damn virtual vast basic big massive stray angry evil green large yellow dark unseen whole lone crimson physical mental personal black dead slow mechanical dull raw short peculiar useful artificial clear savage divine wide full gigantic hard clean horrible odd open wild gray brown heavy original least simple

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Words to Describe eyeballing

As you've probably noticed, adjectives for "eyeballing" are listed above. According to the algorithm that drives this website, the top 5 adjectives for "eyeballing" are: single interested, damn ridiculous, immense myopic, jittery red, and single, bloody. There are 180 other words to describe eyeballing listed above. Hopefully the above generated list of words to describe eyeballing 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 be a simple word or phrase, like "tiger" or "blue eyes". A search for words to describe "people who have blue eyes" will likely return zero results. So if you're not getting ideal results, check that your search term, "eyeballing" isn't confusing the engine in this manner.

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

Describing Words

The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just 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 commonly describe a word. Eventually I realised that there's a much better way of doing this: parse books!

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

Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: "woman" versus "man" and "boy" versus "girl". On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). In fact, "beautiful" is possibly the most 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 do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here).

The blueness of the results represents their relative frequency. You can hover over an item for a second and the frequency score should pop 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's actually pretty simple). As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun.

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

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