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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.
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 ...
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.
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 ...
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 spotting (or more simply, word spotting) is a problem that was historically first defined in the context of speech processing. [1] [2] In speech processing, keyword spotting deals with the identification of keywords in utterances. Keyword spotting is also defined as a separate, but related, problem in the context of document image ...
IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...
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 ...