Describing Wordsfor Dressing-room

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Here are some adjectives for dressing-room: greasy, professional, inadequate professional, bright, cheerful and convenient, cheerful and convenient, severe male, darker little, vast and dusky, purely tentative, luxurious and comfortable, clean, little, own convenient, large, pleasant, own snug, cramped little, big, warm, large pleasant, own luxurious, large cool, luxurious little, best single, same tiny, small inner, little bare, own splendid, second-floor, gloomy old, weird little, more masculine, sordid little, comfortable little. You can get the definitions of these dressing-room adjectives by clicking on them. You might also like some words related to dressing-room (and find more here).

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Words to Describe dressing-room

Below is a list of describing words for dressing-room. 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 dressing-room:

greasy, professional inadequate professional bright, cheerful and convenient cheerful and convenient severe male darker little vast and dusky purely tentative luxurious and comfortable clean, little own convenient large, pleasant own snug cramped little big, warm large pleasant own luxurious large cool luxurious little best single same tiny small inner little bare own splendid second-floor gloomy old weird little more masculine sordid little
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comfortable little tawdry well-fitted snug interesting little dark little luxurious sylvan cozy little innermost habitable cosy sweltering curtained neat little dainty little little blue long, low dainty erstwhile uncompromising theatrical amber elegant queer little funereal beautiful old adjacent nice little opulent own special beautiful little rear roomy inner dear little airless subterranean sunny safer stuffy lavender portentous cramped untidy own private tentative outer royal spacious comfortable hospital leafy portable inadequate private bleak splintered intermediate tasteful convenient greasy aerial professional airy narrow junior dusky underground temporary joint miniature shabby extra mutual splendid similar noisy magnificent warm vast cheerful masculine capital dark beautiful smaller unique graceful immense green solitary separate open empty sacred ordinary former common charming wretched primitive clean cool old-fashioned bare special big handsome male general extensive neat hot occasional proper large low long main blue bright lower modern single whole dear next best mere less present huge

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Words to Describe dressing-room

As you've probably noticed, adjectives for "dressing-room" are listed above. According to the algorithm that drives this website, the top 5 adjectives for "dressing-room" are: greasy, professional, inadequate professional, bright, cheerful and convenient, cheerful and convenient, and severe male. There are 157 other words to describe dressing-room listed above. Hopefully the above generated list of words to describe dressing-room 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, "dressing-room" isn't confusing the engine in this manner.

Note also that if there aren't many dressing-room 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 dressing-room?

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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