Describing Wordsfor Scamming

examples: nosewinterblue eyeswoman

Here are some adjectives for scamming: simple but time-tested, otherwise convincing, slick undercover, sordid and hateful, net-commercial, tawdry get-rich-quick, presumably harmless, other half-baked, brilliantly disruptive, tax-shelter, safe and profitable, tasty little, nice, easy, time-tested, helpless female, extremely wealthy, fairly straightforward, new corporate, sick, sick, snake-oil, whole goddamned, gun-running, whole sorry, whole animal, bloody stupid, old classic, white-collar, highly complex, major-league, high-stakes. You can get the definitions of these scamming adjectives by clicking on them. You might also like some words related to scamming (and find more here).

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Words to Describe scamming

Below is a list of describing words for scamming. 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 scamming:

simple but time-tested otherwise convincing slick undercover sordid and hateful net-commercial tawdry get-rich-quick presumably harmless other half-baked brilliantly disruptive tax-shelter safe and profitable tasty little nice, easy time-tested helpless female extremely wealthy fairly straightforward new corporate sick, sick snake-oil whole goddamned gun-running whole sorry whole animal bloody stupid old classic white-collar highly complex major-league
describing words continue after advertisement
high-stakes big-time get-rich-quick more lucrative multimillion-dollar same ancient two-bit full-on profitable clever little undercover black-market sweet little overall long-term nice little tidy little disruptive money-making ready-made cunning little convoluted aborted nifty archaic half-baked neat disciplinary whole damn helluva crooked convincing partisan sleazy financial oldest neat little straightforward corporate biggest nasty little enjoyable sordid timeless pious goddamned whole current hateful heartless lucrative minor mechanical masterful lunatic ultimate federal safe counterfeit silken latest perfect trial soviet grandest wealthy crazy hospital helpful complex classic criminal naive slimy easy same old particular harmless major final ruthless sick nice diplomatic junior huge entire fair terrific sorry double next clever weak notorious wee bizarre grand brilliant total gigantic imperial royal international petty magical wonderful obscure commercial obvious complete enormous elegant animal simple religious favorite damn bad remarkable best regular dirty stupid fine female deep full actual greatest high former wild different common ancient con

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Words to Describe scamming

As you've probably noticed, adjectives for "scamming" are listed above. According to the algorithm that drives this website, the top 5 adjectives for "scamming" are: simple but time-tested, otherwise convincing, slick undercover, sordid and hateful, and net-commercial. There are 161 other words to describe scamming listed above. Hopefully the above generated list of words to describe scamming 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, "scamming" isn't confusing the engine in this manner.

Note also that if there aren't many scamming 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 scamming?

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.

Please note that Describing Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. To learn more, see the privacy policy.

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