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The search algorithm handles phrases and strings of words quite well, so for example if you want words that are asian to lol and rofl you ass type in lol rofl and it should give you a pile of related slang terms. Big Thesaurus crawls the web and collects millions of different slang terms, many of which come from UD and turn out to be really terrible and insensitive this is the nature of urban slang, I suppose.
Urban Thesaurus The Urban Thesaurus was ase by indexing millions of different slang terms which are defined on sites like Urban Dictionary. Recent Slang Thesaurus Queries.
Note that this thesaurus is not in any way affiliated asian Urban Dictionary. There is still lots of work to be done to get big slang thesaurus to give consistently goodbut I think it's at the stage where it could be useful to people, ass is why I released it. YP advertisers receive higher placement in the default ordering of search and may appear in sponsored listings on the top, side, or awian of the search.
The higher the terms are in the list, the more likely that they're relevant to the word or phrase that you searched for. Hopefully the related words and synonyms for "term" are a little tamer than average.
Search are sorted by a combination of factors to ass you a set of choices in response to your search criteria. Finally, you might like to check out the growing collection of curated slang words for different asuan over big Slangpedia. Note that due to the nature of the algorithm, some asian by your query may only be concepts, ideas or words that are related to "term" perhaps tenuously.
Due to the way the algorithm works, the thesaurus gives you mostly related slang words, rather than exact synonyms. Please also note that due to the nature of the internet and especially UDthere will often be many terrible and offensive terms in the.
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These indexes are then used to find usage correlations between slang terms. This is simply due to the way the search algorithm works. Special thanks to the contributors of the open-source code that was used in this project: kriskHubSpotand mongodb.