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Affect labeling is an implicit emotional regulation strategy that can be simply described as "putting feelings into words". Specifically, it refers to the idea that explicitly labeling one's, typically negative, emotional state results in a reduction of the conscious experience, physiological response, and/or behavior resulting from that emotional state. [1]
In order to perform difficult analyses and train intelligent wiki-tools (e.g. for detecting vandalism and assessing the quality of articles), we need labeled data and lots of it.
label description Copy Editing rephrase; improve grammar, spelling, tone, or punctuation. Clarification specify or explain an existing fact or meaning by example or discussion without adding new information. Simplification reduce the complexity or breadth of discussion; may remove information. Point of View
Labelling or using a label is describing someone or something in a word or short phrase. [1] For example, the label "criminal" may be used to describe someone who has broken a law. Labelling theory is a theory in sociology which ascribes labelling of people to control and identification of deviant behaviour.
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Labels logo. Our goal in this project is to produce labeled datasets for pressing needs of the Wikipedia community. Labeled datasets have a variety of uses including research (e.g. qualitative analyses of newcomer quality [1] and editor interactions [2]) and the development of advance wiki tools (e.g. the models used by User:ClueBot NG and WP:STiki).
All examples use example date 2021-03-31 / 2021 March 31 / 31 March 2021 / March 31, 2021 – except where a single-digit day is illustrated. Basic components of a calendar date for the most common calendar systems: D – day; M – month; Y – year; Specific formats for the basic components: yy – two-digit year, e.g. 24; yyyy – four-digit ...