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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.
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 ...
Keywords are stored in a search index. Common words like articles (a, an, the) and conjunctions (and, or, but) are not treated as keywords because it's inefficient. Almost every English-language site on the Internet has the article " the ", and so it makes no sense to search for it.
Begin with a basic keyword search to get started. For example, try: • digital camera reviews • compare digital cameras • digital SLR reviews • compare cheap digital cameras. If you already have an idea of which cameras you'll be considering, you can also try a keyword search for a brand or a specific product line. For example, try:
Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities, but also by students and the general public.
Keyword searches give you a wide variety of results without having to perform an advanced search. You are able to search less and discover more! Type a desired word or phrase in the AOL Search field and hit the Enter key on your keyboard or Click the Search button. AOL Search will find the info you want.
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.
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