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Keyword research starts with finding all possible word combinations that are relevant to the "making money" keyword. For example, the keyword "acquiring money" has significantly fewer search results, only 116,000,000, but it has the same meaning as "making money." Another way is to be more specific about a keyword by adding additional filters.
A popular form of keywords on the web are tags, which are directly visible and can be assigned by non-experts. Index terms can consist of a word, phrase, or alphanumerical term. They are created by analyzing the document either manually with subject indexing or automatically with automatic indexing or more sophisticated methods of keyword ...
Keyword (linguistics), a word that occurs in a text more often than by chance alone; Keywords: A Vocabulary of Culture and Society, 1973 non-fiction book by Raymond Williams "Keyword" (song), a 2008 song by Tohoshinki
In corpus linguistics a key word is a word which occurs in a text more often than we would expect to occur by chance alone. [1] Key words are calculated by carrying out a statistical test (e.g., loglinear or chi-squared) which compares the word frequencies in a text against their expected frequencies derived in a much larger corpus, which acts as a reference for general language use.
Keywords: A Vocabulary of Culture and Society is a book by the Welsh Marxist academic Raymond Williams published in 1976 by Croom Helm.. Originally intended to be published along with the author's 1958 work Culture and Society, this work examines the history of more than a hundred words that are familiar and yet confusing: Art, Bureaucracy, Culture, Educated, Management, Masses, Nature ...
Key Word In Context (KWIC) is the most common format for concordance lines. The term KWIC was coined by Hans Peter Luhn . [ 1 ] The system was based on a concept called keyword in titles , which was first proposed for Manchester libraries in 1864 by Andrea Crestadoro .
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The bag-of-words model is commonly used in methods of document classification where the (frequency of) occurrence of each word is used as a feature for training a classifier. [47] bag-of-words model in computer vision In computer vision, the bag-of-words model (BoW model) can be applied to image classification, by treating image features as words.