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Contextual search is a form of optimizing web-based search results based on context provided by the user and the computer being used to enter the query. [1] Contextual search services differ from current search engines based on traditional information retrieval that return lists of documents based on their relevance to the query.
Wikipedia articles tend to grow in a way that leads to the natural creation of new articles. The text of any article consists of a sequence of related but distinct subtopics. When there is enough text in a given subtopic to merit its own article, that text can be summarized in the present article and a link provided to the more detailed article.
More recently, social contexts tend to be defined in terms of the social identity being construed and displayed in text and talk by language users. [ citation needed ] The influence of context parameters on language use or discourse is usually studied in terms of language variation , style or register (see Stylistics ).
“Looking back at the Oxford Word of the Year over the past two decades, you can see society’s growing preoccupation with how our virtual lives are evolving, the way internet culture is ...
For every 3 non-theme words you find, you earn a hint. Hints show the letters of a theme word. If there is already an active hint on the board, a hint will show that word’s letter order.
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content [citation needed] as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship between units of ...
Some words, by their structure, can suggest extended forms that may turn out to be contentious (e.g. lesbian and transgender imply the longer words lesbianism and transgenderism, which are sometimes taken as offensive for seeming to imply a belief system or agenda). For additional guidance on -ist/-ism terms, see § Contentious labels, above.
External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6] Based on a chosen document model and predefined similarity criteria, the detection task is to retrieve all documents that contain text that is similar to a degree above a chosen threshold to text in the ...