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The upshot is that the 79 million words in fact span the 239,000 bona fide articles, the remaining 22,000 linked articles, and the unknown number of articles without links. As of October 2004, the total word count in the latter two categories was estimated at two million words. Dividing the remaining 77 million words by 239,000 gives a mean ...
The word count is the number of words in a document or passage of text. Word counting may be needed when a text is required to stay within certain numbers of words. This may particularly be the case in academia, legal proceedings, journalism and advertising. Word count is commonly used by translators to determine the price of a translation job.
The "share" is lower than the count because for each article it is based on the number of nationals who have contributed, divided by the total number of contributors. In many cases the "share" will be much lower than the "count" because the "count" includes articles published by institutions which may have only a very few members of the ...
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tf–idf. In information retrieval, tf–idf (also TF*IDF, TFIDF, TF–IDF, or Tf–idf ), short for term frequency–inverse document frequency, is a measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general. [1] It was often used as a weighting factor in ...
Academic publishing. Scientific and technical journal publications per million residents of the world as of 2013. Academic publishing is the subfield of publishing which distributes academic research and scholarship. Most academic work is published in academic journal articles, books or theses. The part of academic written output that is not ...
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Bag-of-words model. The bag-of-words model is a model of text which uses a representation of text that is based on an unordered collection (or "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus any non-trivial notion of grammar [clarification needed]) but captures ...