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Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. [ 1 ] [ 2 ] Key phrases , key terms , key segments or just keywords are the terminology which is used for defining the terms that represent the most relevant information contained in the document.
Collins Scrabble Words (CSW, formerly SOWPODS) is the word list used in English-language tournament Scrabble in most countries except the US, Thailand and Canada, [1] although Scrabble tournaments in the US and Canada are also organized with divisions that use Collins Scrabble Words as their lexicon, some under the auspices of organizations such as the Collins Coalition.
For example, a search for red apple may return records that contain the word "apple," ones that contain "red," and ones that contain both words no matter where in the record they appear (that is, assuming the search engine applies Boolean OR logic to its keyword search function), whereas a search for "red apple" will only return records that ...
Returns only webpages created in the file type that you specify. To find reports created in PDF format, type your subject, followed by filetype:pdf. inanchor: or inbody: or intitle: These keywords return webpages that contain the specified term in the metadata, such as the anchor, body, or title of the site, respectively.
The task is the following. You are given a piece of text, such as a journal article, and you must produce a list of keywords or key[phrase]s that capture the primary topics discussed in the text. [14] In the case of research articles, many authors provide manually assigned keywords, but most text lacks pre-existing keyphrases. For example, news ...
It was a useful indexing method for technical manuals before computerized full text search became common. For example, a search query including all of the words in an example definition ("KWIC is an acronym for Key Word In Context, the most common format for concordance lines") and the Wikipedia slogan in English ("the free encyclopedia ...
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [1] Written resources may include websites, books, emails, reviews, and ...
Information extraction is the part of a greater puzzle which deals with the problem of devising automatic methods for text management, beyond its transmission, storage and display. The discipline of information retrieval (IR) [ 3 ] has developed automatic methods, typically of a statistical flavor, for indexing large document collections and ...