Deep urban dictionary

Take It Deep.

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. A Comparison of Machine Learning Approaches for Detecting Misogynistic Speech in Urban Dictionary Abstract: Recent moves to consider misogyny as a hate crime have refocused efforts for owners of web properties to detect and remove misogynistic speech. This paper considers the use of deep learning techniques for detection of misogyny in Urban Dictionary, a crowdsourced online dictionary for slang words and phrases. We compare the performance of two deep learning techniques, Bi-LSTM and Bi-GRU, to detect misogynistic speech with the performance of more conventional machine learning techniques, logistic regression, Naive-Bayes classification, and Random Forest classification. We find that both deep learning techniques examined have greater accuracy in detecting misogyny in the Urban Dictionary than the other techniques examined. Article :.

Deep urban dictionary

Federal government websites often end in. The site is secure. Despite several attempts to contact Urban Dictionary to confirm their data sharing policies, the authors have not been able to confirm that deposition of our data in a public repository would breach their terms and conditions. Furthermore, owing to these concerns it has not been possible to host the current dataset in a public repository. The authors are happy to provide researchers with the original data in case they contact us personally. This statement has been agreed with the journal. The Internet facilitates large-scale collaborative projects and the emergence of Web 2. On the other hand, the decentralized and often unmonitored environment of such projects may make them susceptible to low-quality content. In this work, we focus on Urban Dictionary, a crowd-sourced online dictionary. We combine computational methods with qualitative annotation and shed light on the overall features of Urban Dictionary in terms of growth, coverage and types of content. We measure a high presence of opinion-focused entries, as opposed to the meaning-focused entries that we expect from traditional dictionaries.

A noteworthy feature of UD is that users can express their evaluation of different definitions for each headword by up or down voting the definition. Crowd-sourced dictionaries could potentially complement online sources such as Twitter, blogs and websites e, deep urban dictionary. It is followed by descriptions that include: "He doesn't like China because they actually have a great wall"; deep urban dictionary Cheeto… a legit Cheeto"; and "What all hispanics refer to as 'el diablo.

On January 24, , a user by the name of d0ughb0y uploaded a definition to Urban Dictionary, the popular online lexicon that relies on crowdsourced definitions. Under Donald Trump —who, four days prior, was sworn in as the 45th president of the United States, prompting multiple Women's Marches a day later—he wrote: "The man who got more obese women out to walk on his first day in office than Michelle Obama did in eight years. It is followed by descriptions that include: "He doesn't like China because they actually have a great wall"; "A Cheeto… a legit Cheeto"; and "What all hispanics refer to as 'el diablo. Urban Dictionary, now in its 20th year, is a digital repository that contains more than 8 million definitions and famously houses all manner of slang and cultural expressions. Founded by Aaron Peckham in —then a computer science major at Cal Poly—the site became notorious for allowing what sanctioned linguistic gatekeepers, such as the Oxford English Dictionary and Merriam-Webster, would not: a plurality of voice.

Our editors handpick the products that we feature. We may earn commission from the links on this page. You'll be hard-pressed to find an entry for "yas" or "kiki" in the latest Merriam-Webster 's dictionary. Yes, popular slang words beloved by millennials like " binge-watch " and " woo-woo " have been added to the definitive book of words, but what about the slang popping up in your DMs? Or terms that Gen-Z has made popular, like cheugy, and OK boomer?

Deep urban dictionary

Urban Thesaurus finds slang words that are related to your search query. Click words for definitions. As you've probably noticed, the slang synonyms for " deep " are listed above. Note that due to the nature of the algorithm, some results returned by your query may only be concepts, ideas or words that are related to " deep " perhaps tenuously.

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Table 9. Overall, there are entries that describe a word or phrase containing the string selfie see figure 2 for a plot over time. Contemporary information communication technologies open up new ways of cooperation leading to the emergence of large-scale crowd-sourced collaborative projects [ 1 ]. Wiktionary We downloaded the Wiktionary dump of the English language edition of 20 July , so that the date matched our crawling process. Paresh Dave. Our analyses based on crowd-sourced annotations showed more details on the specific characteristics of UD content. So he developed a version that ascribed to a less exclusionary tone: local and popular slang, or what linguist Gretchen McCulloch might refer to as "public, informal, unselfconscious language" now had a proper home. We also find that the number of entries marked as opinion is higher for proper nouns. We collected judgements from a total of workers median number of judgements per worker: Over time, new words enter the lexicon, others become obsolete, and existing words acquire new meanings i. Guys I think we have to build this thing Up-Deeper in order to increase it's depth Minecraft.

Urban Dictionary is a crowdsourced English-language online dictionary for slang words and phrases.

ACM 54 , 86— Lots of People Make Money on Fanfic. These examples are programmatically compiled from various online sources to illustrate current usage of the word 'run deep. Abstract The Internet facilitates large-scale collaborative projects and the emergence of Web 2. R Soc Open Sci. Data and methods 4. Similarly, few entries are highly popular i. Figure 7 shows the fraction of proper nouns by frequency bin. Table 9. The crowdworkers were not familiar with most of the definitions presented to them and many words and their described meaning were found not to be appropriate for formal settings. This is not meant to be a formal definition of rolling in the deep like most terms we define on Dictionary. We collected judgements from a total of workers median number of judgements per worker: PhD thesis, Coventry University. Figure 4 shows the number of new entries added each week. On the inequality of contributions to Wikipedia.